Real-time recognition of cattle using animal biometrics

With the advent of efficient recognition techniques, animal biometric systems have gained more proliferation for the identification and monitoring of cattle. A cattle biometric system is a pattern recognition-based system for the identification of livestock. In this paper, we propose a novel muzzle...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of real-time image processing Ročník 13; číslo 3; s. 505 - 526
Hlavní autoři:	Kumar, Santosh, Singh, Sanjay Kumar, Singh, Ravi Shankar, Singh, Amit Kumar, Tiwari, Shrikant
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2017 Springer Nature B.V
Témata:	Algorithms Animals Biometrics Cameras Cattle Computer Graphics Computer Science Forgery Fraud Identification Image databases Image Processing and Computer Vision Insurance claims Livestock Multimedia Information Systems Pattern Recognition Public domain Real time Registration Semiconductors Signal,Image and Speech Processing Special Issue Paper Surveillance Wireless networks Real-time image processing FLDA FLPP Classification Cattle recognition Feature extraction SVM Animal biometrics Muzzle point
ISSN:	1861-8200, 1861-8219
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	With the advent of efficient recognition techniques, animal biometric systems have gained more proliferation for the identification and monitoring of cattle. A cattle biometric system is a pattern recognition-based system for the identification of livestock. In this paper, we propose a novel muzzle point recognition based on Fisher locality preserving projection algorithm for the recognition of cattle in real time. We have captured images of animals using a surveillance camera and transferred them to the server by wireless network technology. The major contributions are as follows: (1) preparation of muzzle point database, (2) extraction of the salient set of features using proposed muzzle point recognition approach, and (3) evaluation and comparison analysis of the introduced method and several existing recognition algorithms on a standard benchmark protocol. The efficacy of proposed muzzle point recognition approach for cattle evaluates under identification settings and yields 96.87 % recognition accuracy for identifying individual cattle. The proposed approach also valued the 10.25 sec recognition time for enrollment and identified individual cattle on different sizes of muzzle point images.
AbstractList	With the advent of efficient recognition techniques, animal biometric systems have gained more proliferation for the identification and monitoring of cattle. A cattle biometric system is a pattern recognition-based system for the identification of livestock. In this paper, we propose a novel muzzle point recognition based on Fisher locality preserving projection algorithm for the recognition of cattle in real time. We have captured images of animals using a surveillance camera and transferred them to the server by wireless network technology. The major contributions are as follows: (1) preparation of muzzle point database, (2) extraction of the salient set of features using proposed muzzle point recognition approach, and (3) evaluation and comparison analysis of the introduced method and several existing recognition algorithms on a standard benchmark protocol. The efficacy of proposed muzzle point recognition approach for cattle evaluates under identification settings and yields 96.87 % recognition accuracy for identifying individual cattle. The proposed approach also valued the 10.25 sec recognition time for enrollment and identified individual cattle on different sizes of muzzle point images. With the advent of efficient recognition techniques, animal biometric systems have gained more proliferation for the identification and monitoring of cattle. A cattle biometric system is a pattern recognition-based system for the identification of livestock. In this paper, we propose a novel muzzle point recognition based on Fisher locality preserving projection algorithm for the recognition of cattle in real time. We have captured images of animals using a surveillance camera and transferred them to the server by wireless network technology. The major contributions are as follows: (1) preparation of muzzle point database, (2) extraction of the salient set of features using proposed muzzle point recognition approach, and (3) evaluation and comparison analysis of the introduced method and several existing recognition algorithms on a standard benchmark protocol. The efficacy of proposed muzzle point recognition approach for cattle evaluates under identification settings and yields 96.87% recognition accuracy for identifying individual cattle. The proposed approach also valued the 10.25 sec recognition time for enrollment and identified individual cattle on different sizes of muzzle point images.
Author	Tiwari, Shrikant Singh, Ravi Shankar Kumar, Santosh Singh, Sanjay Kumar Singh, Amit Kumar
Author_xml	– sequence: 1 givenname: Santosh surname: Kumar fullname: Kumar, Santosh email: santosh.rs.cse12@iitbhu.ac.in organization: Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University) – sequence: 2 givenname: Sanjay Kumar surname: Singh fullname: Singh, Sanjay Kumar organization: Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University) – sequence: 3 givenname: Ravi Shankar surname: Singh fullname: Singh, Ravi Shankar organization: Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University) – sequence: 4 givenname: Amit Kumar surname: Singh fullname: Singh, Amit Kumar organization: Department of Computer Science and Engineering, Jaypee University of Information Technology – sequence: 5 givenname: Shrikant surname: Tiwari fullname: Tiwari, Shrikant organization: Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus
BookMark	eNp9kE9LAzEQxYNUsK1-AG8LnqOZ7G6yOUrxHxQE0XPIZpOSsk1qkh789qasKAh6mhmY37w3b4FmPniD0CWQayCE3ySAtm0wAYYJa1rcnKA5dAxwR0HMvntCztAipS0hjLO6nSP-YtSIs9uZKhodNt5lF3wVbKVVzqOpDsn5TaW826mx6l3YmRydTufo1KoxmYuvukRv93evq0e8fn54Wt2usa6BZWyhEa0VRItBC0UHPgADXnc9pXagghDQA2NCDUKbTpne1mWyjNOe6NYIVS_R1XR3H8P7waQst-EQfZGUVJSneANdW7Zg2tIxpBSNlftYDMcPCUQe85FTPrLkI4_5yKYw_BejXVbH73NUbvyXpBOZiorfmPjj6W_oE0msew8
CitedBy_id	crossref_primary_10_1016_j_compag_2022_106784 crossref_primary_10_1007_s11250_024_04024_9 crossref_primary_10_1016_j_biosystemseng_2025_104135 crossref_primary_10_1038_s41598_025_94732_5 crossref_primary_10_1016_j_compag_2025_110747 crossref_primary_10_2478_aoas_2018_0013 crossref_primary_10_1016_j_foodcont_2020_107419 crossref_primary_10_3390_ani12040459 crossref_primary_10_3390_electronics11223791 crossref_primary_10_3390_s24237680 crossref_primary_10_1007_s11042_025_20604_9 crossref_primary_10_1016_j_atech_2025_101199 crossref_primary_10_1016_j_compag_2023_107632 crossref_primary_10_1007_s11554_017_0716_1 crossref_primary_10_1007_s42991_021_00206_2 crossref_primary_10_1007_s40010_019_00610_x crossref_primary_10_1016_j_compag_2021_106133 crossref_primary_10_1007_s41870_024_02074_8 crossref_primary_10_1049_iet_bmt_2016_0017 crossref_primary_10_1109_ACCESS_2023_3344452 crossref_primary_10_1109_ACCESS_2021_3068517 crossref_primary_10_3390_app13021178 crossref_primary_10_3390_agronomy11112365 crossref_primary_10_1016_j_compag_2020_105826 crossref_primary_10_3389_frobt_2025_1578318 crossref_primary_10_3390_app11052074 crossref_primary_10_1016_j_neucom_2024_127640 crossref_primary_10_1017_S1466252321000177 crossref_primary_10_1109_TIM_2025_3576017 crossref_primary_10_1016_j_compag_2024_109287 crossref_primary_10_1016_j_compag_2020_105821 crossref_primary_10_1007_s00500_022_06935_x crossref_primary_10_1016_j_compag_2022_106738
Cites_doi	10.1007/s11554-014-0478-y 10.1016/j.tree.2014.05.004 10.1109/34.587996 10.1109/ACCESS.2016.2517076 10.1007/BF03178082 10.1016/j.biosystemseng.2006.11.013 10.1007/s11554-014-0428-8 10.1016/j.compag.2010.08.014 10.1098/rstb.2001.0898 10.1136/vr.138.25.612 10.1016/j.patcog.2014.07.017 10.1023/B:WINE.0000044029.06344.dd 10.1109/TPAMI.2002.1017623 10.1007/s11554-013-0388-4 10.1017/S1751731115001342 10.1016/S0168-1699(96)01308-7 10.1109/TPAMI.2006.244 10.1109/TIFS.2011.2159205 10.1016/0165-0270(95)00121-2 10.1007/s40010-016-0264-2 10.1016/j.compag.2008.05.014 10.1007/s11554-013-0349-y 10.1109/34.598228 10.1016/j.compag.2016.03.014 10.1016/j.jneumeth.2004.09.019 10.1109/TPAMI.2010.230 10.1016/j.procs.2015.09.044 10.1007/s10916-016-0475-8 10.1016/j.compag.2013.09.015 10.13031/2013.20462 10.1016/j.applanim.2009.03.005 10.1007/s11554-015-0492-8 10.1109/TPAMI.2003.1217609 10.1364/JOSAA.14.001724 10.1109/TPAMI.2015.2453950 10.1109/TNN.2002.804287 10.1163/156939308783122724 10.1109/TPAMI.2015.2439252 10.1016/j.cviu.2007.09.014 10.1016/S0168-1699(97)00048-3 10.1007/s11554-011-0230-9 10.1109/TIFS.2016.2538744 10.1109/TPAMI.2015.2481420 10.1017/S095026881400212X 10.1109/CVPR.1991.139758 10.1109/ICCV.2009.5459323 10.1109/ICIIP.2015.7414742 10.1145/2938559.2948871 10.1371/journal.pone.0145800 10.1007/978-3-319-07491-7_29 10.1109/SPC.2014.7086240 10.1007/978-3-319-30340-6_30 10.1109/CVPR.2007.382985 10.1109/EUSIPCO.2015.7362862 10.1109/CIT/IUCC/DASC/PICOM.2015.172 10.3920/9789086866045_037 10.1371/journal.pone.0057990 10.1109/ICCV.1999.790410
ContentType	Journal Article
Copyright	Springer-Verlag Berlin Heidelberg 2016 Springer-Verlag Berlin Heidelberg 2016.
Copyright_xml	– notice: Springer-Verlag Berlin Heidelberg 2016 – notice: Springer-Verlag Berlin Heidelberg 2016.
DBID	AAYXX CITATION 8FE 8FG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU DWQXO GNUQQ HCIFZ JQ2 K7- P5Z P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI
DOI	10.1007/s11554-016-0645-4
DatabaseName	CrossRef ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central ProQuest Technology Collection ProQuest One ProQuest Central Korea ProQuest Central Student SciTech Collection (ProQuest) ProQuest Computer Science Collection Computer Science Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition
DatabaseTitle	CrossRef Advanced Technologies & Aerospace Collection Computer Science Database ProQuest Central Student Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Applied & Life Sciences ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New)
DatabaseTitleList	Advanced Technologies & Aerospace Collection
Database_xml	– sequence: 1 dbid: P5Z name: Advanced Technologies & Aerospace Database url: https://search.proquest.com/hightechjournals sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Computer Science
EISSN	1861-8219
EndPage	526
ExternalDocumentID	10_1007_s11554_016_0645_4
GroupedDBID	-59 -5G -BR -EM -Y2 -~C .VR 06D 0R~ 0VY 1N0 203 29L 2J2 2JN 2JY 2KG 2KM 2LR 2VQ 2~H 30V 4.4 406 408 409 40D 40E 5VS 67Z 6NX 8TC 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDZT ABECU ABFTV ABHLI ABHQN ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACZOJ ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFGCZ AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARAPS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. BA0 BDATZ BENPR BGLVJ BGNMA BSONS CAG CCPQU COF CS3 CSCUP DDRTE DNIVK DPUIP EBLON EBS EIOEI EJD ESBYG FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS H13 HCIFZ HF~ HG5 HG6 HLICF HMJXF HQYDN HRMNR HVGLF HZ~ IHE IJ- IKXTQ ITM IWAJR IXC IXE IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K7- KDC KOV LLZTM M4Y MA- N2Q N9A NPVJJ NQJWS NU0 O9- O93 O9J OAM P9O PF0 PT4 QOS R89 R9I ROL RPX RSV S16 S1Z S27 S3B SAP SCO SDH SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 TSG TSK TSV TUC U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z7R Z7X Z83 Z88 ZMTXR ~A9 AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC ADHKG AEZWR AFDZB AFFHD AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION PHGZM PHGZT PQGLB 8FE 8FG AZQEC DWQXO GNUQQ JQ2 P62 PKEHL PQEST PQQKQ PQUKI
ID	FETCH-LOGICAL-c316t-f1495f90c9dc9a2d7d161738b22fd29001cd669ad9ce8aebf3669f672b0c5e9a3
IEDL.DBID	P5Z
ISICitedReferencesCount	86
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000411714000008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1861-8200
IngestDate	Thu Nov 06 12:21:40 EST 2025 Sat Nov 29 03:23:15 EST 2025 Tue Nov 18 22:24:42 EST 2025 Fri Feb 21 02:39:39 EST 2025
IsPeerReviewed	true
IsScholarly	true
Issue	3
Keywords	Real-time image processing FLDA FLPP Classification Cattle recognition Feature extraction SVM Animal biometrics Muzzle point
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c316t-f1495f90c9dc9a2d7d161738b22fd29001cd669ad9ce8aebf3669f672b0c5e9a3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
PQID	2918674185
PQPubID	2044148
PageCount	22
ParticipantIDs	proquest_journals_2918674185 crossref_primary_10_1007_s11554_016_0645_4 crossref_citationtrail_10_1007_s11554_016_0645_4 springer_journals_10_1007_s11554_016_0645_4
PublicationCentury	2000
PublicationDate	20170900 2017-9-00 20170901
PublicationDateYYYYMMDD	2017-09-01
PublicationDate_xml	– month: 9 year: 2017 text: 20170900
PublicationDecade	2010
PublicationPlace	Berlin/Heidelberg
PublicationPlace_xml	– name: Berlin/Heidelberg – name: Heidelberg
PublicationTitle	Journal of real-time image processing
PublicationTitleAbbrev	J Real-Time Image Proc
PublicationYear	2017
Publisher	Springer Berlin Heidelberg Springer Nature B.V
Publisher_xml	– name: Springer Berlin Heidelberg – name: Springer Nature B.V
References	Kumar, Tiwari, Singh (CR35) 2016; 86 Diehl, Cauwenberghs (CR15) 2003; 4 Mörwald, Prankl, Zillich, Vincze (CR45) 2015; 10 Bay, Ess, Tuytelaars, Van Gool (CR5) 2008; 110 CR39 Oczak, Ismayilova, Costa, Viazzi, Sonoda, Fels, Bahr, Hartung, Guarino, Berckmans (CR48) 2013; 99 Duyck, Finn, Hutcheon, Vera, Salas, Ravela (CR17) 2015; 48 CR34 CR33 CR32 CR31 CR30 Belhumeur, Hespanha, Kriegman (CR6) 1997; 19 Jegadeesan, Venkatesan (CR28) 2016; 334 Gu, Aoyama, Takaki, Ishii (CR21) 2016; 11 Ni, Liu, Lau, Patil (CR46) 2004; 10 Yang, Lin, Gao, Lv, Wei, Song (CR63) 2016; 10 Botella, García (CR9) 2016; 11 CR2 Dell, Bender, Branson, Couzin, de Polavieja, Noldus, Pérez-Escudero, Perona, Straw, Wikelski (CR14) 2014; 29 Cangar, Leroy, Guarino, Vranken, Fallon, Lenehan, Mee, Berckmans (CR11) 2008; 64 Laadjel, Bouridane, Nibouche, Kurugollu, Al-Maadeed (CR36) 2013; 8 Pisano, Zong, Hemminger, DeLuca, Johnston, Muller, Braeuning, Pizer (CR50) 1998; 11 Saeidi, Astudillo, Kolossa (CR53) 2016; 38 Awad (CR3) 2016; 123 Bartlett, Movellan, Sejnowski (CR4) 2002; 13 Leroy, Vranken, Van Brecht, Struelens, Janssen, Tuyttens, De Baere, Zoons, Sonck, Berckmans (CR37) 2005; 49 CR40 Ojala, Pietikäinen, Mäenpää (CR49) 2002; 24 Bharadwaj, Bhatt, Vatsa, Singh (CR7) 2016; 11 Martiskainen, Järvinen, Skön, Tiirikainen, Kolehmainen, Mononen (CR44) 2009; 119 Hoy, Koehler, Patterson (CR24) 1996; 64 Wolf, Hassner, Taigman (CR62) 2011; 33 Lind, Vinther, Hemmingsen, Hansen (CR38) 2005; 143 Jain, Hong, Bolle (CR27) 1997; 19 CR58 CR13 Huhtala, Suhonen, Mäkelä, Hakojärvi, Ahokas (CR25) 2007; 96 Rodríguez-Prieto, Vicente-Rubiano, Sanchez-Matamoros, Rubio-Guerri, Melero, Martinez-Lopez, Martinez-Aviles, Hoinville, Vergne, Comin (CR52) 2015; 143 Coutinho, Cintra, Bayer, Kulasekera, Madanayake (CR12) 2016; 12 Lv, Tek, Da Silva, Empereur-mot, Chavent, Baaden (CR41) 2013; 8 Huircán, Muñoz, Young, Von Dossow, Bustos, Vivallo, Toneatti (CR26) 2010; 74 He, Zhang, Zhang, Li (CR23) 2016; 38 Shao, Xin, Harmon (CR55) 1998; 19 Lv, Chirivella, Gagliardo (CR42) 2016; 40 Tillett, Onyango, Marchant (CR57) 1997; 17 Lv, Li, Zhang, Wang, Zhu, Hu, Feng (CR43) 2016; 4 Nilsson, Herlin, Ardö, Guzhva, Åström, Bergsten (CR47) 2015; 9 Seo, Milanfar (CR54) 2011; 6 Tan, Wasif, Tan (CR56) 2008; 22 Weng, Zhang, Hwang (CR60) 2003; 25 Biswas, Milanfar (CR8) 2016; 38 Cangar, Leroy, Guarino, Vranken, Fallon, Lenehan, Mee, Berckmans (CR10) 2007; 7 Johnston, Edwards (CR29) 1996; 138 Ahonen, Hadid, Pietikainen (CR1) 2006; 28 Wardrope (CR59) 1995; 37 CR65 Etemad, Chellappa (CR19) 1997; 14 CR20 CR64 Doherr, Audige (CR16) 2001; 356 CR61 Poiesi, Cavallaro (CR51) 2015; 10 Hadad, Mahmoud, Mousa (CR22) 2015; 65 El-Henawy, El Bakry, El Hadad (CR18) 2016; 4 HME Hadad (645_CR22) 2015; 65 S Kumar (645_CR35) 2016; 86 Z Lv (645_CR42) 2016; 40 S Jegadeesan (645_CR28) 2016; 334 O Cangar (645_CR10) 2007; 7 T Mörwald (645_CR45) 2015; 10 645_CR39 MS Bartlett (645_CR4) 2002; 13 645_CR34 M Oczak (645_CR48) 2013; 99 645_CR32 M Nilsson (645_CR47) 2015; 9 645_CR33 PN Belhumeur (645_CR6) 1997; 19 645_CR30 645_CR31 J Duyck (645_CR17) 2015; 48 A Johnston (645_CR29) 1996; 138 VA Coutinho (645_CR12) 2016; 12 Z Lv (645_CR43) 2016; 4 M Doherr (645_CR16) 2001; 356 X He (645_CR23) 2016; 38 J Shao (645_CR55) 1998; 19 T Ojala (645_CR49) 2002; 24 R Saeidi (645_CR53) 2016; 38 NM Lind (645_CR38) 2005; 143 R Tillett (645_CR57) 1997; 17 LM Ni (645_CR46) 2004; 10 AI Dell (645_CR14) 2014; 29 V Rodríguez-Prieto (645_CR52) 2015; 143 J Yang (645_CR63) 2016; 10 H Bay (645_CR5) 2008; 110 I El-Henawy (645_CR18) 2016; 4 Z Lv (645_CR41) 2013; 8 645_CR40 HJ Seo (645_CR54) 2011; 6 M Laadjel (645_CR36) 2013; 8 A Huhtala (645_CR25) 2007; 96 T Ahonen (645_CR1) 2006; 28 J Weng (645_CR60) 2003; 25 Q Gu (645_CR21) 2016; 11 SK Biswas (645_CR8) 2016; 38 645_CR58 645_CR13 T Leroy (645_CR37) 2005; 49 JI Huircán (645_CR26) 2010; 74 P Martiskainen (645_CR44) 2009; 119 Ö Cangar (645_CR11) 2008; 64 G Botella (645_CR9) 2016; 11 CP Diehl (645_CR15) 2003; 4 ED Pisano (645_CR50) 1998; 11 L Wolf (645_CR62) 2011; 33 J Hoy (645_CR24) 1996; 64 D Wardrope (645_CR59) 1995; 37 K Tan (645_CR56) 2008; 22 F Poiesi (645_CR51) 2015; 10 645_CR2 645_CR65 AI Awad (645_CR3) 2016; 123 K Etemad (645_CR19) 1997; 14 645_CR20 645_CR64 645_CR61 S Bharadwaj (645_CR7) 2016; 11 A Jain (645_CR27) 1997; 19
References_xml	– volume: 11 start-page: 625 issue: 4 year: 2016 end-page: 631 ident: CR9 article-title: Real-time motion estimation for image and video processing applications publication-title: J. Real-Time Image Process. doi: 10.1007/s11554-014-0478-y – volume: 29 start-page: 417 issue: 7 year: 2014 end-page: 428 ident: CR14 article-title: Automated image-based tracking and its application in ecology publication-title: Trends Ecol. Evol. doi: 10.1016/j.tree.2014.05.004 – volume: 19 start-page: 302 issue: 4 year: 1997 end-page: 314 ident: CR27 article-title: On-line fingerprint verification publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.587996 – volume: 4 start-page: 407 year: 2016 end-page: 415 ident: CR43 article-title: Managing big city information based on webvrgis publication-title: IEEE Access. doi: 10.1109/ACCESS.2016.2517076 – volume: 11 start-page: 193 issue: 4 year: 1998 end-page: 200 ident: CR50 article-title: Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms publication-title: J. Digit. Imaging doi: 10.1007/BF03178082 – volume: 4 start-page: 82 issue: 2 year: 2016 end-page: 93 ident: CR18 article-title: Cattle identification using segmentation-based fractal texture analysis and artificial neural networks publication-title: Int. J. Electron. Inf. Eng. – ident: CR39 – volume: 96 start-page: 399 issue: 3 year: 2007 end-page: 405 ident: CR25 article-title: Evaluation of instrumentation for cow positioning and tracking indoors publication-title: Biosyst. Eng. doi: 10.1016/j.biosystemseng.2006.11.013 – volume: 10 start-page: 785 issue: 4 year: 2015 end-page: 803 ident: CR51 article-title: Predicting and recognizing human interactions in public spaces publication-title: J. Real-Time Image Process. doi: 10.1007/s11554-014-0428-8 – volume: 74 start-page: 258 issue: 2 year: 2010 end-page: 264 ident: CR26 article-title: Zigbee-based wireless sensor network localization for cattle monitoring in grazing fields publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2010.08.014 – ident: CR61 – volume: 356 start-page: 1097 issue: 1411 year: 2001 end-page: 1106 ident: CR16 article-title: Monitoring and surveillance for rare health-related events: a review from the veterinary perspective publication-title: Philos. Trans. R. Soc. Lond. B Biol. Sci. doi: 10.1098/rstb.2001.0898 – ident: CR58 – volume: 138 start-page: 612 issue: 25 year: 1996 end-page: 614 ident: CR29 article-title: Welfare implications of identification of cattle by ear tags publication-title: Vet. Rec. doi: 10.1136/vr.138.25.612 – volume: 48 start-page: 1059 issue: 4 year: 2015 end-page: 1073 ident: CR17 article-title: Sloop: a pattern retrieval engine for individual animal identification publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2014.07.017 – volume: 10 start-page: 701 issue: 6 year: 2004 end-page: 710 ident: CR46 article-title: Landmarc: indoor location sensing using active rfid publication-title: Wirel. Netw. doi: 10.1023/B:WINE.0000044029.06344.dd – volume: 24 start-page: 971 issue: 7 year: 2002 end-page: 987 ident: CR49 article-title: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2002.1017623 – volume: 10 start-page: 683 issue: 4 year: 2015 end-page: 697 ident: CR45 article-title: Advances in real-time object tracking publication-title: J. Real-Time Image Process. doi: 10.1007/s11554-013-0388-4 – volume: 9 start-page: 1859 issue: 11 year: 2015 end-page: 1865 ident: CR47 article-title: Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique publication-title: Animal doi: 10.1017/S1751731115001342 – volume: 17 start-page: 249 issue: 2 year: 1997 end-page: 261 ident: CR57 article-title: Using model-based image processing to track animal movements publication-title: Comput. Electron. Agric. doi: 10.1016/S0168-1699(96)01308-7 – volume: 28 start-page: 2037 issue: 12 year: 2006 end-page: 2041 ident: CR1 article-title: Face description with local binary patterns: application to face recognition publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2006.244 – volume: 6 start-page: 1275 issue: 4 year: 2011 end-page: 1286 ident: CR54 article-title: Face verification using the lark representation publication-title: IEEE Trans. Inf. Forensics Secur. doi: 10.1109/TIFS.2011.2159205 – volume: 64 start-page: 157 issue: 2 year: 1996 end-page: 161 ident: CR24 article-title: A microcomputer-based system for real-time analysis of animal movement publication-title: J. Neurosci. Methods doi: 10.1016/0165-0270(95)00121-2 – volume: 86 start-page: 137 issue: 2 year: 2016 end-page: 148 ident: CR35 article-title: Face recognition of cattle: Can it be done? publication-title: Proc. Natl. Acad. Sci., India Sect. A Phys. Sci. doi: 10.1007/s40010-016-0264-2 – volume: 64 start-page: 53 issue: 1 year: 2008 end-page: 60 ident: CR11 article-title: Automatic real-time monitoring of locomotion and posture behaviour of pregnant cows prior to calving using online image analysis publication-title: Comput. Electron Agric. doi: 10.1016/j.compag.2008.05.014 – ident: CR32 – volume: 11 start-page: 251 issue: 2 year: 2016 end-page: 269 ident: CR21 article-title: High frame-rate tracking of multiple color-patterned objects publication-title: J. Real-Time Image Process. doi: 10.1007/s11554-013-0349-y – volume: 19 start-page: 711 issue: 7 year: 1997 end-page: 720 ident: CR6 article-title: Eigenfaces verdsus fisherfaces: recognition using class specific linear projection publication-title: IEEE Trans. Pattern. Anal. Mach. Intell. doi: 10.1109/34.598228 – ident: CR64 – volume: 123 start-page: 423 year: 2016 end-page: 435 ident: CR3 article-title: From classical methods to animal biometrics: a review on cattle identification and tracking publication-title: Comput. Electron Agric. doi: 10.1016/j.compag.2016.03.014 – volume: 143 start-page: 123 issue: 2 year: 2005 end-page: 132 ident: CR38 article-title: Validation of a digital video tracking system for recording pig locomotor behaviour publication-title: J. Neurosci. Methods doi: 10.1016/j.jneumeth.2004.09.019 – volume: 8 start-page: 1 issue: 3 year: 2013 end-page: 13 ident: CR41 article-title: Game on, science—how video game technology may help biologists tackle visualization challenges publication-title: PLoS One – volume: 33 start-page: 1978 issue: 10 year: 2011 end-page: 1990 ident: CR62 article-title: Effective unconstrained face recognition by combining multiple descriptors and learned background statistics publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2010.230 – volume: 7 start-page: 291 year: 2007 end-page: 298 ident: CR10 article-title: Model-based calving monitor using real time image analysis publication-title: Precis. Livest. Farming – volume: 4 start-page: 2685 year: 2003 end-page: 2690 ident: CR15 article-title: Svm incremental learning, adaptation and optimization publication-title: Proc. Int. Joint Conf. Neural Netw. – volume: 65 start-page: 864 year: 2015 end-page: 871 ident: CR22 article-title: Bovines muzzle classification based on machine learning techniques publication-title: Procedia Comput. Sci. doi: 10.1016/j.procs.2015.09.044 – volume: 10 start-page: 1 issue: 12 year: 2016 end-page: 19 ident: CR63 article-title: Quality index for stereoscopic images by separately evaluating adding and subtracting publication-title: PLoS One – ident: CR2 – volume: 40 start-page: 1 issue: 5 year: 2016 end-page: 10 ident: CR42 article-title: Bigdata oriented multimedia mobile health applications publication-title: J. Med. Syst. doi: 10.1007/s10916-016-0475-8 – ident: CR30 – volume: 99 start-page: 209 year: 2013 end-page: 217 ident: CR48 article-title: Analysis of aggressive behaviours of pigs by automatic video recordings publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2013.09.015 – volume: 49 start-page: 795 issue: 3 year: 2005 end-page: 802 ident: CR37 article-title: A quantitative computer vision method for on-line classification of poultry behavior in furnished cages publication-title: Trans. ASAE doi: 10.13031/2013.20462 – volume: 119 start-page: 32 issue: 1 year: 2009 end-page: 38 ident: CR44 article-title: Cow behaviour pattern recognition using a three-dimensional accelerometer and support vector machines publication-title: Appl. Anim. Behav. Sci. doi: 10.1016/j.applanim.2009.03.005 – ident: CR33 – volume: 12 start-page: 247 issue: 2 year: 2016 end-page: 255 ident: CR12 article-title: A multiplierless pruned dct-like transformation for image and video compression that requires ten additions only publication-title: J Real-Time Image Process. doi: 10.1007/s11554-015-0492-8 – volume: 25 start-page: 1034 issue: 8 year: 2003 end-page: 1040 ident: CR60 article-title: Candid covariance-free incremental principal component analysis publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2003.1217609 – volume: 14 start-page: 1724 issue: 8 year: 1997 end-page: 1733 ident: CR19 article-title: Discriminant analysis for recognition of human face images publication-title: JOSA A doi: 10.1364/JOSAA.14.001724 – volume: 38 start-page: 546 issue: 3 year: 2016 end-page: 562 ident: CR8 article-title: One shot detection with laplacian object and fast matrix cosine similarity publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2015.2453950 – ident: CR40 – volume: 13 start-page: 1450 issue: 6 year: 2002 end-page: 1464 ident: CR4 article-title: Face recognition by independent component analysis publication-title: IEEE Trans. Neural Netw. doi: 10.1109/TNN.2002.804287 – volume: 22 start-page: 27 issue: 1 year: 2008 end-page: 38 ident: CR56 article-title: Objects tracking utilizing square grid rfid reader antenna network publication-title: J. Electromagn. Waves Appl. doi: 10.1163/156939308783122724 – volume: 38 start-page: 1009 issue: 5 year: 2016 end-page: 1015 ident: CR23 article-title: A-optimal projection for image representation publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2015.2439252 – volume: 110 start-page: 346 issue: 3 year: 2008 end-page: 359 ident: CR5 article-title: Speeded-up robust features (surf) publication-title: Comput. Vis. Image Underst. doi: 10.1016/j.cviu.2007.09.014 – volume: 19 start-page: 223 issue: 3 year: 1998 end-page: 232 ident: CR55 article-title: Comparison of image feature extraction for classification of swine thermal comfort behavior publication-title: Comput. Electron. Agric. doi: 10.1016/S0168-1699(97)00048-3 – volume: 8 start-page: 253 issue: 3 year: 2013 end-page: 263 ident: CR36 article-title: An improved palmprint recognition system using iris features publication-title: J. Real-Time Image Process. doi: 10.1007/s11554-011-0230-9 – ident: CR65 – ident: CR31 – ident: CR13 – ident: CR34 – volume: 11 start-page: 1630 issue: 7 year: 2016 end-page: 1641 ident: CR7 article-title: Domain specific learning for newborn face recognition publication-title: IEEE Trans. Inf. Forensics Secur. doi: 10.1109/TIFS.2016.2538744 – volume: 334 start-page: 339 year: 2016 ident: CR28 article-title: Smart cow health monitoring, farm environmental monitoring and control system using wireless sensor networks publication-title: Int. J. Adv. Eng. Tech./Vol VII/Issue I/Jan–March – volume: 38 start-page: 1479 issue: 7 year: 2016 end-page: 1488 ident: CR53 article-title: Uncertain LDA: including observation uncertainties in discriminative transforms publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2015.2481420 – volume: 37 start-page: 675 issue: 26 year: 1995 ident: CR59 article-title: Problems with the use of ear tags in cattle publication-title: Vet. Rec. (United Kingdom) – ident: CR20 – volume: 143 start-page: 2018 issue: 10 year: 2015 end-page: 2042 ident: CR52 article-title: Systematic review of surveillance systems and methods for early detection of exotic, new and re-emerging diseases in animal populations publication-title: Epidemiol. Infect. doi: 10.1017/S095026881400212X – volume: 96 start-page: 399 issue: 3 year: 2007 ident: 645_CR25 publication-title: Biosyst. Eng. doi: 10.1016/j.biosystemseng.2006.11.013 – volume: 19 start-page: 302 issue: 4 year: 1997 ident: 645_CR27 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.587996 – volume: 334 start-page: 339 year: 2016 ident: 645_CR28 publication-title: Int. J. Adv. Eng. Tech./Vol VII/Issue I/Jan–March – ident: 645_CR58 doi: 10.1109/CVPR.1991.139758 – volume: 11 start-page: 193 issue: 4 year: 1998 ident: 645_CR50 publication-title: J. Digit. Imaging doi: 10.1007/BF03178082 – ident: 645_CR61 doi: 10.1109/ICCV.2009.5459323 – volume: 9 start-page: 1859 issue: 11 year: 2015 ident: 645_CR47 publication-title: Animal doi: 10.1017/S1751731115001342 – volume: 24 start-page: 971 issue: 7 year: 2002 ident: 645_CR49 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2002.1017623 – volume: 38 start-page: 1009 issue: 5 year: 2016 ident: 645_CR23 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2015.2439252 – volume: 64 start-page: 53 issue: 1 year: 2008 ident: 645_CR11 publication-title: Comput. Electron Agric. doi: 10.1016/j.compag.2008.05.014 – ident: 645_CR32 doi: 10.1109/ICIIP.2015.7414742 – volume: 10 start-page: 701 issue: 6 year: 2004 ident: 645_CR46 publication-title: Wirel. Netw. doi: 10.1023/B:WINE.0000044029.06344.dd – volume: 74 start-page: 258 issue: 2 year: 2010 ident: 645_CR26 publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2010.08.014 – volume: 19 start-page: 223 issue: 3 year: 1998 ident: 645_CR55 publication-title: Comput. Electron. Agric. doi: 10.1016/S0168-1699(97)00048-3 – volume: 123 start-page: 423 year: 2016 ident: 645_CR3 publication-title: Comput. Electron Agric. doi: 10.1016/j.compag.2016.03.014 – volume: 138 start-page: 612 issue: 25 year: 1996 ident: 645_CR29 publication-title: Vet. Rec. doi: 10.1136/vr.138.25.612 – volume: 19 start-page: 711 issue: 7 year: 1997 ident: 645_CR6 publication-title: IEEE Trans. Pattern. Anal. Mach. Intell. doi: 10.1109/34.598228 – volume: 143 start-page: 2018 issue: 10 year: 2015 ident: 645_CR52 publication-title: Epidemiol. Infect. doi: 10.1017/S095026881400212X – ident: 645_CR34 doi: 10.1145/2938559.2948871 – volume: 33 start-page: 1978 issue: 10 year: 2011 ident: 645_CR62 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2010.230 – volume: 10 start-page: 1 issue: 12 year: 2016 ident: 645_CR63 publication-title: PLoS One doi: 10.1371/journal.pone.0145800 – volume: 48 start-page: 1059 issue: 4 year: 2015 ident: 645_CR17 publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2014.07.017 – volume: 110 start-page: 346 issue: 3 year: 2008 ident: 645_CR5 publication-title: Comput. Vis. Image Underst. doi: 10.1016/j.cviu.2007.09.014 – volume: 49 start-page: 795 issue: 3 year: 2005 ident: 645_CR37 publication-title: Trans. ASAE doi: 10.13031/2013.20462 – ident: 645_CR20 doi: 10.1007/978-3-319-07491-7_29 – ident: 645_CR2 doi: 10.1109/SPC.2014.7086240 – ident: 645_CR39 – volume: 25 start-page: 1034 issue: 8 year: 2003 ident: 645_CR60 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2003.1217609 – ident: 645_CR31 doi: 10.1007/978-3-319-30340-6_30 – ident: 645_CR30 doi: 10.1109/CVPR.2007.382985 – volume: 8 start-page: 253 issue: 3 year: 2013 ident: 645_CR36 publication-title: J. Real-Time Image Process. doi: 10.1007/s11554-011-0230-9 – volume: 29 start-page: 417 issue: 7 year: 2014 ident: 645_CR14 publication-title: Trends Ecol. Evol. doi: 10.1016/j.tree.2014.05.004 – volume: 22 start-page: 27 issue: 1 year: 2008 ident: 645_CR56 publication-title: J. Electromagn. Waves Appl. doi: 10.1163/156939308783122724 – volume: 38 start-page: 546 issue: 3 year: 2016 ident: 645_CR8 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2015.2453950 – volume: 10 start-page: 683 issue: 4 year: 2015 ident: 645_CR45 publication-title: J. Real-Time Image Process. doi: 10.1007/s11554-013-0388-4 – ident: 645_CR13 doi: 10.1109/EUSIPCO.2015.7362862 – volume: 4 start-page: 407 year: 2016 ident: 645_CR43 publication-title: IEEE Access. doi: 10.1109/ACCESS.2016.2517076 – volume: 4 start-page: 82 issue: 2 year: 2016 ident: 645_CR18 publication-title: Int. J. Electron. Inf. Eng. – volume: 119 start-page: 32 issue: 1 year: 2009 ident: 645_CR44 publication-title: Appl. Anim. Behav. Sci. doi: 10.1016/j.applanim.2009.03.005 – ident: 645_CR65 doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.172 – ident: 645_CR33 doi: 10.1109/ICIIP.2015.7414742 – volume: 11 start-page: 251 issue: 2 year: 2016 ident: 645_CR21 publication-title: J. Real-Time Image Process. doi: 10.1007/s11554-013-0349-y – volume: 11 start-page: 625 issue: 4 year: 2016 ident: 645_CR9 publication-title: J. Real-Time Image Process. doi: 10.1007/s11554-014-0478-y – volume: 65 start-page: 864 year: 2015 ident: 645_CR22 publication-title: Procedia Comput. Sci. doi: 10.1016/j.procs.2015.09.044 – volume: 64 start-page: 157 issue: 2 year: 1996 ident: 645_CR24 publication-title: J. Neurosci. Methods doi: 10.1016/0165-0270(95)00121-2 – volume: 10 start-page: 785 issue: 4 year: 2015 ident: 645_CR51 publication-title: J. Real-Time Image Process. doi: 10.1007/s11554-014-0428-8 – volume: 12 start-page: 247 issue: 2 year: 2016 ident: 645_CR12 publication-title: J Real-Time Image Process. doi: 10.1007/s11554-015-0492-8 – volume: 7 start-page: 291 year: 2007 ident: 645_CR10 publication-title: Precis. Livest. Farming doi: 10.3920/9789086866045_037 – volume: 14 start-page: 1724 issue: 8 year: 1997 ident: 645_CR19 publication-title: JOSA A doi: 10.1364/JOSAA.14.001724 – volume: 4 start-page: 2685 year: 2003 ident: 645_CR15 publication-title: Proc. Int. Joint Conf. Neural Netw. – volume: 86 start-page: 137 issue: 2 year: 2016 ident: 645_CR35 publication-title: Proc. Natl. Acad. Sci., India Sect. A Phys. Sci. doi: 10.1007/s40010-016-0264-2 – volume: 17 start-page: 249 issue: 2 year: 1997 ident: 645_CR57 publication-title: Comput. Electron. Agric. doi: 10.1016/S0168-1699(96)01308-7 – volume: 38 start-page: 1479 issue: 7 year: 2016 ident: 645_CR53 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2015.2481420 – volume: 40 start-page: 1 issue: 5 year: 2016 ident: 645_CR42 publication-title: J. Med. Syst. doi: 10.1007/s10916-016-0475-8 – volume: 11 start-page: 1630 issue: 7 year: 2016 ident: 645_CR7 publication-title: IEEE Trans. Inf. Forensics Secur. doi: 10.1109/TIFS.2016.2538744 – volume: 37 start-page: 675 issue: 26 year: 1995 ident: 645_CR59 publication-title: Vet. Rec. (United Kingdom) – volume: 6 start-page: 1275 issue: 4 year: 2011 ident: 645_CR54 publication-title: IEEE Trans. Inf. Forensics Secur. doi: 10.1109/TIFS.2011.2159205 – volume: 13 start-page: 1450 issue: 6 year: 2002 ident: 645_CR4 publication-title: IEEE Trans. Neural Netw. doi: 10.1109/TNN.2002.804287 – ident: 645_CR64 – volume: 28 start-page: 2037 issue: 12 year: 2006 ident: 645_CR1 publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2006.244 – volume: 99 start-page: 209 year: 2013 ident: 645_CR48 publication-title: Comput. Electron. Agric. doi: 10.1016/j.compag.2013.09.015 – volume: 356 start-page: 1097 issue: 1411 year: 2001 ident: 645_CR16 publication-title: Philos. Trans. R. Soc. Lond. B Biol. Sci. doi: 10.1098/rstb.2001.0898 – volume: 8 start-page: 1 issue: 3 year: 2013 ident: 645_CR41 publication-title: PLoS One doi: 10.1371/journal.pone.0057990 – volume: 143 start-page: 123 issue: 2 year: 2005 ident: 645_CR38 publication-title: J. Neurosci. Methods doi: 10.1016/j.jneumeth.2004.09.019 – ident: 645_CR40 doi: 10.1109/ICCV.1999.790410
SSID	ssj0067635
Score	2.3935025
Snippet	With the advent of efficient recognition techniques, animal biometric systems have gained more proliferation for the identification and monitoring of cattle. A...
SourceID	proquest crossref springer
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	505
SubjectTerms	Algorithms Animals Biometrics Cameras Cattle Computer Graphics Computer Science Forgery Fraud Identification Image databases Image Processing and Computer Vision Insurance claims Livestock Multimedia Information Systems Pattern Recognition Public domain Real time Registration Semiconductors Signal,Image and Speech Processing Special Issue Paper Surveillance Wireless networks
SummonAdditionalLinks	– databaseName: SpringerLINK Contemporary 1997-Present dbid: RSV link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEB60evBifWJ9sQdPykK6STa7RxGLpyL1QW9hn1LQVJrq73cnTRoUFfQYdncI-5j5hpn5BuAsyZwWkmuaSiVpkvqI6jhSFKFCABxMxy6pmk1kw6EYj-VtXcddNtnuTUiy0tRtsRuavuD6Bg-YJylNVmENuUuwbcHo7rFRvxwZ1tDLErxPg3lbhjK_E_HZGLUI80tQtLI1g-6__nILNmtoSS4Xd2EbVlyxA92mbQOpX_EuZKMADik2lSfL9KFpQaaemIrRmGAu_BNRxeQliKvq85HGv9yDh8H1_dUNrfsnUBP3-Zx69H68jIy0RipmM4vOTCw0Y94yGQyUsZxLZaVxQjnt4_DlecZ0ZFInVbwPnWJauAMgzJqAC5QIylAknishXarCMp2lNlJM9iBqNjI3Nbk49rh4zltaZNyYHBPKcGPypAfnyyWvC2aN3yYfN6eT14-szJlENj5k3-nBRXMa7fCPwg7_NPsINhia8iqv7Bg689mbO4F18z6flLPT6u59AMOq0fI priority: 102 providerName: Springer Nature
Title	Real-time recognition of cattle using animal biometrics
URI	https://link.springer.com/article/10.1007/s11554-016-0645-4 https://www.proquest.com/docview/2918674185
Volume	13
WOSCitedRecordID	wos000411714000008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1861-8219 dateEnd: 20241214 omitProxy: false ssIdentifier: ssj0067635 issn: 1861-8200 databaseCode: P5Z dateStart: 20060301 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1861-8219 dateEnd: 20241214 omitProxy: false ssIdentifier: ssj0067635 issn: 1861-8200 databaseCode: K7- dateStart: 20060301 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1861-8219 dateEnd: 20241214 omitProxy: false ssIdentifier: ssj0067635 issn: 1861-8200 databaseCode: BENPR dateStart: 20060301 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVAVX databaseName: Springer LINK customDbUrl: eissn: 1861-8219 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0067635 issn: 1861-8200 databaseCode: RSV dateStart: 20060301 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NS8MwFH-4zYMX5ydO5-jBkxLs0jZNTqKyIQhjzA-Gl5ImqQy0nev07zevazcU3MVLoTQJJR_v_V7y8vsBnPmhiblgMQmEFMQPEpfEnisJQgULOGjsGb8QmwgHAz4ei2G54ZaXaZWVTSwMtc4U7pFfUoHUa0i1cjX9IKgahaerpYRGDRpdarG-nc_D4KWyxAzJ1jDg4qxLrKdbnmoWV-fQkdpA2sbTzA-I_9MvrcDmr_PRwu30m__94R3YLgGnc72YIbuwYdI9aFZiDk65tvchHFnISFBq3lkmFWWpkyWOKniOHcyQf3VkOnm3zRW39pHcPz-Ap37v8faOlKoKRHldNicJxkSJcJXQSkiqQ40hjsdjShNNhXVbSjMmpBbKcGnixLNvCQtp7KrACOkdQj3NUnMEDtXKogXJrYnkfsIkFyaQtlocBtqVVLTArfo0UiXlOCpfvEUrsmQchgjTzHAYIr8F58sq0wXfxrrC7arro3Lp5dGq31twUQ3e6vOfjR2vb-wEtih69CK9rA31-ezTnMKm-ppP8lkHGje9wXDUgdp9SDrFLLTP0cPzNwtd4E0
linkProvider	ProQuest
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1NS8NAEB20CnqxfmK16h70oiymm2STPYiIH1TUIqJQvMTN7kYKmmpbFf-Uv9GdNGlRsLcePIYkQ8hMZt5kZ98D2PYCE4eCx9QXUlDPTxwau46kCBUs4GCxa7xMbCJoNMJmU1xPwFexFwbHKoucmCVq3Vb4j3yfCaReQ6qVw5dXiqpRuLpaSGj0w-LCfH7Ylq17cH5i_bvD2Nnp7XGd5qoCVLk13qMJ9gSJcJTQSkimA40Q3w1jxhLNhE3bSnMupBbKhNLEiWuPEh6w2FG-EdK1didhysIIgYng2r8vMj9Hcjds8EJeo7ayDlZRs616WLht4277d-751PtZB4fg9td6bFbmzsr_7QXNw1wOqMlR_wtYgAmTLkK5EKsgee5aguDGQmLaaz0bMhiaaqeknRCV8TgT3AHwSGTaerbmMlYCFC_oLsPdWB5_BUppOzWrQJhWFg3J0JaA0Eu4DIXxpb0tDnztSCYq4BQ-jFROqY7KHk_RkAwa3R7hGB26PfIqsDu45aXPJzLq4mrh6ihPLd1o6OcK7BXBMjz9p7G10ca2YKZ-e3UZXZ43LtZhliF6yUbpqlDqdd7MBkyr916r29nMYp7Aw7hj6BtuQzrK
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LS8NAEB60inixPrFaNQdPytJ0k2yyR1GLopTii97CZh9S0LQ00d_vTpo0KCqIx7C7Q5h9fDPMzDcAx36ok4izhARccOIHxiWJ5wqCpoI1OGjiab9oNhH2-9FwyAdln9OsynavQpKzmgZkaUrzzkSZTl34hjBo3WDrDTM_IP4iLPlIhobu-v1T9RQzZFtDjytiXWKhbh7W_E7EZ2Cqrc0vAdICd3rNf__xOqyVJqdzNjsjG7Cg001oVu0cnPJ2b0F4Z41Ggs3mnXla0Th1xsaRBdOxgznyz45IR69WXFG3j_T-2TY89i4fzq9I2VeBSK_LcmLQKzLclVxJLqgKFTo5XpRQahTlFrikYowLxaWOhE6MZ78MC2niykBz4e1AIx2nehccqqS1F0RkH8nIN0xEXAfCLkvCQLmC8ha4lVJjWZKOY--Ll7imS0bFxJhohoqJ_RaczJdMZowbv01uVzsVl5cviylHlj5k5WnBabUz9fCPwvb-NPsIVgYXvfj2un-zD6sU0b5IPWtDI5--6QNYlu_5KJseFkfyA-k73bo
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Real-time+recognition+of+cattle+using+animal+biometrics&rft.jtitle=Journal+of+real-time+image+processing&rft.au=Kumar%2C+Santosh&rft.au=Singh%2C+Sanjay+Kumar&rft.au=Singh%2C+Ravi+Shankar&rft.au=Singh%2C+Amit+Kumar&rft.date=2017-09-01&rft.pub=Springer+Nature+B.V&rft.issn=1861-8200&rft.eissn=1861-8219&rft.volume=13&rft.issue=3&rft.spage=505&rft.epage=526&rft_id=info:doi/10.1007%2Fs11554-016-0645-4
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1861-8200&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1861-8200&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1861-8200&client=summon