Fuzzy Detection Aided Real-Time and Robust Visual Tracking Under Complex Environments

Today, a new generation of artificial intelligence has brought several new research domains such as computer vision (CV). Thus, target tracking, the base of CV, has been a hotspot research domain. Correlation filter (CF)-based algorithm has been the basis of real-time tracking algorithms because of...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on fuzzy systems Vol. 29; no. 1; pp. 90 - 102
Main Authors:	Liu, Shuai, Wang, Shuai, Liu, Xinyu, Lin, Chin-Teng, Lv, Zhihan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Artificial intelligence Complex environment Computer vision Correlation Domains fuzzy detection Fuzzy logic Fuzzy sets Fuzzy systems Mathematical model Object recognition Optical tracking OTB100 Real time Target tracking Tracking visual tracking Visualization
ISSN:	1063-6706, 1941-0034
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Today, a new generation of artificial intelligence has brought several new research domains such as computer vision (CV). Thus, target tracking, the base of CV, has been a hotspot research domain. Correlation filter (CF)-based algorithm has been the basis of real-time tracking algorithms because of the high tracking efficiency. However, CF-based algorithms usually failed to track objects in complex environments. Therefore, this article proposes a fuzzy detection strategy to prejudge the tracking result. If the prejudge process determines that the tracking result is not good enough in the current frame, the stored target template is used for following tracking to avoid the template pollution. During testing on the OTB100 dataset, the experimental results show that the proposed auxiliary detection strategy improves the tracking robustness under complex environment by ensuring the tracking speed.
AbstractList	Today, a new generation of artificial intelligence has brought several new research domains such as computer vision (CV). Thus, target tracking, the base of CV, has been a hotspot research domain. Correlation filter (CF)-based algorithm has been the basis of real-time tracking algorithms because of the high tracking efficiency. However, CF-based algorithms usually failed to track objects in complex environments. Therefore, this article proposes a fuzzy detection strategy to prejudge the tracking result. If the prejudge process determines that the tracking result is not good enough in the current frame, the stored target template is used for following tracking to avoid the template pollution. During testing on the OTB100 dataset, the experimental results show that the proposed auxiliary detection strategy improves the tracking robustness under complex environment by ensuring the tracking speed.
Author	Liu, Xinyu Lv, Zhihan Liu, Shuai Wang, Shuai Lin, Chin-Teng
Author_xml	– sequence: 1 givenname: Shuai orcidid: 0000-0001-9909-0664 surname: Liu fullname: Liu, Shuai email: cs.liu.shuai@gmail.com organization: Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, and College of Information Science and Engineering, Hunan Normal University, Changsha, China – sequence: 2 givenname: Shuai surname: Wang fullname: Wang, Shuai email: 201920293218@smail.hunnu.edu.cn organization: Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, and College of Information Science and Engineering, Hunan Normal University, Changsha, China – sequence: 3 givenname: Xinyu surname: Liu fullname: Liu, Xinyu email: 201920293208@smail.hunnu.edu.cn organization: Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, and College of Information Science and Engineering, Hunan Normal University, Changsha, China – sequence: 4 givenname: Chin-Teng orcidid: 0000-0001-8371-8197 surname: Lin fullname: Lin, Chin-Teng email: chin-teng.Lin@uts.edu.au organization: Centre for Artificial Intelligence, FEIT, University of Technology Sydney, Sydney, NSW, Australia – sequence: 5 givenname: Zhihan orcidid: 0000-0003-2525-3074 surname: Lv fullname: Lv, Zhihan email: lvzhihan@gmail.com organization: School of Data Science and Software Engineering, Qingdao University, Qingdao, China
BookMark	eNp9kE1LAzEQhhepYP34A3oJeN46yWazm2OpnyAI0nroZUmTiaRuszXZFeuvd2uLBw8ehpmBeeaF5zgZ-MZjkpxTGFEK8mp6O5vPRwwYjDIAkTM4SIZUcpoCZHzQzyCyVBQgjpLjGJcAlOe0HCaz2-7ra0OusUXdusaTsTNoyDOqOp26FRLl-61ZdLElLy52qibToPSb869k5g0GMmlW6xo_yY3_cKHxK_RtPE0Oraojnu37SZ9zM53cp49Pdw-T8WOqmczbdEGlQr7IteGQUzCCS8NpYZCX1Iq-NDPMFGUhF5ZKUWrQzFrKEKxltiyyk-Ry93cdmvcOY1stmy74PrJivMhlXkpB-yu2u9KhiTGgrdbBrVTYVBSqrb7qR1-11Vft9fVQ-QfSrlVbRW1Qrv4fvdihDhF_syTNmCiy7Btzdn_D
CODEN	IEFSEV
CitedBy_id	crossref_primary_10_1007_s11036_021_01822_5 crossref_primary_10_1007_s11036_021_01826_1 crossref_primary_10_1109_ACCESS_2024_3357519 crossref_primary_10_1007_s00530_023_01061_6 crossref_primary_10_1109_JAS_2022_105878 crossref_primary_10_1109_TNNLS_2023_3325633 crossref_primary_10_3233_JCM_230012 crossref_primary_10_1007_s11036_021_01901_7 crossref_primary_10_1007_s11036_021_01905_3 crossref_primary_10_1007_s11036_022_01953_3 crossref_primary_10_1007_s11036_022_01942_6 crossref_primary_10_1007_s11036_022_01946_2 crossref_primary_10_1007_s11036_022_02068_5 crossref_primary_10_1109_ACCESS_2021_3104147 crossref_primary_10_1007_s11042_022_12837_9 crossref_primary_10_1007_s11082_023_06211_8 crossref_primary_10_1007_s11042_023_15537_0 crossref_primary_10_1109_ACCESS_2022_3164192 crossref_primary_10_1186_s13634_024_01144_0 crossref_primary_10_1145_3474367 crossref_primary_10_1016_j_jfranklin_2024_107128 crossref_primary_10_1007_s11036_021_01899_y crossref_primary_10_1007_s11036_021_01818_1 crossref_primary_10_1016_j_infrared_2022_104099 crossref_primary_10_1109_ACCESS_2025_3536461 crossref_primary_10_1007_s11036_021_01770_0 crossref_primary_10_1007_s11036_021_01771_z crossref_primary_10_1016_j_neucom_2022_10_074 crossref_primary_10_3390_app12073562 crossref_primary_10_1007_s11042_023_16364_z crossref_primary_10_1007_s11036_024_02430_9 crossref_primary_10_1007_s11036_024_02434_5 crossref_primary_10_1007_s11036_021_01886_3 crossref_primary_10_1016_j_engappai_2023_106782 crossref_primary_10_1007_s11036_020_01673_6 crossref_primary_10_1007_s11036_020_01677_2 crossref_primary_10_1109_TIP_2025_3551533 crossref_primary_10_1007_s11036_022_02075_6 crossref_primary_10_1007_s11036_023_02244_1 crossref_primary_10_1007_s11036_020_01616_1 crossref_primary_10_1007_s11036_021_01823_4 crossref_primary_10_1007_s11036_021_01827_0 crossref_primary_10_1109_ACCESS_2021_3058222 crossref_primary_10_1109_ACCESS_2022_3162231 crossref_primary_10_32604_cmc_2024_050018 crossref_primary_10_1109_TMM_2021_3065580 crossref_primary_10_1007_s11036_021_01828_z crossref_primary_10_1007_s11036_021_01902_6 crossref_primary_10_1016_j_knosys_2025_113947 crossref_primary_10_1016_j_suscom_2022_100657 crossref_primary_10_1007_s00371_021_02328_7 crossref_primary_10_1007_s11036_022_02023_4 crossref_primary_10_1007_s11036_020_01681_6 crossref_primary_10_1007_s11036_022_01941_7 crossref_primary_10_1007_s11036_022_01945_3 crossref_primary_10_1007_s11036_022_02069_4 crossref_primary_10_1007_s11036_021_01777_7 crossref_primary_10_1007_s11042_022_13681_7 crossref_primary_10_1016_j_neunet_2024_106750 crossref_primary_10_1007_s11042_023_16929_y crossref_primary_10_1007_s11036_024_02300_4 crossref_primary_10_1007_s11036_021_01819_0 crossref_primary_10_1109_TSMC_2022_3147255 crossref_primary_10_1016_j_chaos_2021_111142 crossref_primary_10_1007_s11042_023_15608_2 crossref_primary_10_1007_s11036_021_01774_w crossref_primary_10_1007_s11036_022_02028_z crossref_primary_10_1007_s11227_023_05650_0 crossref_primary_10_1007_s00521_021_06771_4 crossref_primary_10_1007_s41207_024_00472_9 crossref_primary_10_1016_j_asoc_2025_113140 crossref_primary_10_1007_s11042_022_13423_9 crossref_primary_10_1007_s11042_024_19486_0 crossref_primary_10_1109_JIOT_2021_3077600 crossref_primary_10_1007_s00138_023_01382_6 crossref_primary_10_1007_s11036_021_01883_6 crossref_primary_10_1007_s11036_020_01674_5 crossref_primary_10_1007_s11042_023_14626_4 crossref_primary_10_1109_ACCESS_2022_3172953 crossref_primary_10_3390_electronics13173460 crossref_primary_10_1007_s11036_022_02072_9 crossref_primary_10_1007_s11036_022_02076_5 crossref_primary_10_1007_s11036_020_01617_0 crossref_primary_10_1007_s11036_021_01824_3 crossref_primary_10_4108_eetpht_v8i3_670 crossref_primary_10_1007_s11042_022_12210_w crossref_primary_10_1016_j_compeleceng_2021_107258 crossref_primary_10_1007_s11036_021_01907_1 crossref_primary_10_3389_frobt_2024_1359782 crossref_primary_10_1002_int_23043 crossref_primary_10_1155_2021_4529169 crossref_primary_10_1016_j_compeleceng_2021_107370 crossref_primary_10_1007_s11042_022_12097_7 crossref_primary_10_1007_s11265_023_01839_x crossref_primary_10_1007_s11036_022_02024_3 crossref_primary_10_1007_s11036_020_01682_5 crossref_primary_10_1007_s11036_022_01940_8 crossref_primary_10_1007_s11036_022_01948_0 crossref_primary_10_1007_s11042_023_14652_2 crossref_primary_10_1007_s11036_021_01776_8 crossref_primary_10_1007_s11042_023_17866_6 crossref_primary_10_1007_s11036_022_01949_z crossref_primary_10_3390_electronics12204300 crossref_primary_10_1007_s11036_020_01625_0 crossref_primary_10_1007_s11036_021_01773_x crossref_primary_10_1186_s13640_022_00585_7 crossref_primary_10_1109_TCSVT_2021_3120479 crossref_primary_10_1007_s11036_021_01769_7 crossref_primary_10_4108_eetpht_9_711 crossref_primary_10_1007_s11276_023_03244_5 crossref_primary_10_1155_2021_6633755 crossref_primary_10_1007_s11036_021_01880_9 crossref_primary_10_1007_s11036_021_01884_5 crossref_primary_10_1007_s11036_021_01888_1 crossref_primary_10_1007_s11036_022_02070_x crossref_primary_10_1109_ACCESS_2022_3201131 crossref_primary_10_1007_s11036_020_01675_4 crossref_primary_10_1007_s11036_023_02261_0 crossref_primary_10_1007_s11042_022_12446_6 crossref_primary_10_1109_ACCESS_2021_3089727 crossref_primary_10_1007_s11036_021_01821_6 crossref_primary_10_1007_s11036_021_01825_2 crossref_primary_10_3389_fcimb_2025_1615993 crossref_primary_10_1109_JIOT_2022_3142115 crossref_primary_10_1109_ACCESS_2021_3133012 crossref_primary_10_1007_s00521_022_07026_6 crossref_primary_10_1007_s11036_021_01908_0 crossref_primary_10_1109_TCSS_2021_3119957 crossref_primary_10_4108_eetpht_v8i3_657 crossref_primary_10_1007_s11042_023_14394_1 crossref_primary_10_1186_s13638_021_02029_8 crossref_primary_10_1007_s11036_022_02025_2 crossref_primary_10_1007_s11036_022_01943_5 crossref_primary_10_1007_s11036_022_01947_1 crossref_primary_10_3233_JHS_222048 crossref_primary_10_1007_s11036_021_01775_9 crossref_primary_10_3390_s21206815 crossref_primary_10_1007_s11276_023_03255_2 crossref_primary_10_1007_s11036_021_01897_0 crossref_primary_10_1002_int_23036 crossref_primary_10_1007_s00034_025_03134_5 crossref_primary_10_1007_s11036_021_01772_y crossref_primary_10_1007_s11042_022_12519_6 crossref_primary_10_1016_j_heliyon_2024_e25776 crossref_primary_10_1007_s11036_022_01931_9 crossref_primary_10_1016_j_enpol_2024_114350 crossref_primary_10_4108_eetpht_v8i4_274 crossref_primary_10_1109_ACCESS_2024_3400884 crossref_primary_10_1109_TR_2020_3021376 crossref_primary_10_1007_s11036_021_01881_8 crossref_primary_10_1007_s11036_021_01885_4 crossref_primary_10_1007_s11036_022_02071_w crossref_primary_10_1007_s11036_020_01676_3 crossref_primary_10_1109_TFUZZ_2025_3542090 crossref_primary_10_1007_s11036_022_02074_7 crossref_primary_10_1109_ACCESS_2022_3225421 crossref_primary_10_1007_s11265_022_01809_9 crossref_primary_10_1186_s13640_020_00530_6 crossref_primary_10_1371_journal_pone_0279240
Cites_doi	10.1109/ICACSIS.2017.8355050 10.1109/CVPR.2013.312 10.1109/FSKD.2015.7381964 10.1109/TFUZZ.2016.2593921 10.1016/j.ymssp.2019.106537 10.1023/A:1007939232436 10.1109/TFUZZ.2006.889954 10.1109/TPAMI.2011.66 10.1109/CVPR.2015.7299124 10.5391/JKIIS.2015.25.1.035 10.1109/TCCN.2020.2973376 10.1109/TIP.2009.2019809 10.1109/FUZZ-IEEE.2018.8491620 10.1109/TPAMI.2016.2609928 10.1109/TVT.2020.2983143 10.1109/TFUZZ.2015.2426212 10.1109/TPAMI.2014.2345390 10.1117/1.JEI.22.4.041121 10.1007/s11042-016-3647-0 10.1109/FUZZ-IEEE.2014.6891614 10.1109/CVPR.2010.5539960 10.1007/978-3-642-33765-9_50 10.1007/978-3-540-88682-2_19 10.1109/CVPR.2015.7298675 10.1109/CVPR.2014.143 10.1002/cne.22512 10.1016/j.trc.2009.04.006 10.1109/TITS.2014.2354372
ContentType	Journal Article
Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021
Copyright_xml	– notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021
DBID	97E RIA RIE AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D
DOI	10.1109/TFUZZ.2020.3006520
DatabaseName	IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional
DatabaseTitle	CrossRef Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional
DatabaseTitleList	Computer and Information Systems Abstracts
Database_xml	– sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering Computer Science
EISSN	1941-0034
EndPage	102
ExternalDocumentID	10_1109_TFUZZ_2020_3006520 9132673
Genre	orig-research
GrantInformation_xml	– fundername: Open Project Program of the State Key Lab of CAD&CG grantid: A1926 – fundername: Natural Science Foundation of Hunan Province grantid: 2020JJ4434 funderid: 10.13039/501100004735 – fundername: Zhejiang University funderid: 10.13039/501100004835 – fundername: National Natural Science Foundation of China grantid: 61502254; 61902203 funderid: 10.13039/501100001809 – fundername: Key Scientific Research Projects of Department of Education of Hunan Province grantid: 19A312 – fundername: Key Research and Development Plan - Major Scientific and Technological Innovation Projects of Shandong Province grantid: 2019JZZY020101 – fundername: Hunan Provincial Science and Technology Department grantid: 2018TP1018; 2018RS3065 funderid: 10.13039/501100002767
GroupedDBID	-~X .DC 0R~ 29I 4.4 5GY 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACGFS ACIWK AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD HZ~ H~9 ICLAB IFIPE IFJZH IPLJI JAVBF LAI M43 O9- OCL P2P PQQKQ RIA RIE RNS TAE TN5 VH1 AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D
ID	FETCH-LOGICAL-c295t-b19ae4b5cd40510d649d417de481f681fc2d2d7879bf1968c0c2ff12e0ff2f873
IEDL.DBID	RIE
ISICitedReferencesCount	197
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000606580300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1063-6706
IngestDate	Sun Oct 05 00:12:11 EDT 2025 Tue Nov 18 21:14:34 EST 2025 Sat Nov 29 03:12:40 EST 2025 Wed Aug 27 02:26:45 EDT 2025
IsPeerReviewed	true
IsScholarly	true
Issue	1
Language	English
License	https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c295t-b19ae4b5cd40510d649d417de481f681fc2d2d7879bf1968c0c2ff12e0ff2f873
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0001-8371-8197 0000-0003-2525-3074 0000-0001-9909-0664
PQID	2475958961
PQPubID	85428
PageCount	13
ParticipantIDs	crossref_primary_10_1109_TFUZZ_2020_3006520 ieee_primary_9132673 proquest_journals_2475958961 crossref_citationtrail_10_1109_TFUZZ_2020_3006520
PublicationCentury	2000
PublicationDate	2021-01-01
PublicationDateYYYYMMDD	2021-01-01
PublicationDate_xml	– month: 01 year: 2021 text: 2021-01-01 day: 01
PublicationDecade	2020
PublicationPlace	New York
PublicationPlace_xml	– name: New York
PublicationTitle	IEEE transactions on fuzzy systems
PublicationTitleAbbrev	TFUZZ
PublicationYear	2021
Publisher	IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml	– name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References	ref13 ref12 ref15 ref14 ref31 ref30 ref11 ref32 mei (ref8) 2009 ref2 ref1 ref17 ref19 han (ref20) 2006 ref18 ref24 ref23 ref26 ref25 ref22 ref21 ref28 mei (ref9) 2011; 33 ref27 ref29 li (ref16) 2014 ref7 wang (ref10) 2013 ref4 ref3 ref6 ref5
References_xml	– ident: ref30 doi: 10.1109/ICACSIS.2017.8355050 – ident: ref2 doi: 10.1109/CVPR.2013.312 – start-page: 2190 year: 2006 ident: ref20 article-title: Theoretical analysis for a design of delay-dependent fuzzy control system with input saturation publication-title: Proc IEEE Int Conf Fuzzy Syst – ident: ref23 doi: 10.1109/FSKD.2015.7381964 – ident: ref25 doi: 10.1109/TFUZZ.2016.2593921 – ident: ref32 doi: 10.1016/j.ymssp.2019.106537 – ident: ref6 doi: 10.1023/A:1007939232436 – ident: ref21 doi: 10.1109/TFUZZ.2006.889954 – volume: 33 start-page: 2259 year: 2011 ident: ref9 article-title: Robust visual tracking and vehicle classification via sparse representation publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2011.66 – ident: ref17 doi: 10.1109/CVPR.2015.7299124 – ident: ref3 doi: 10.5391/JKIIS.2015.25.1.035 – ident: ref29 doi: 10.1109/TCCN.2020.2973376 – ident: ref15 doi: 10.1109/TIP.2009.2019809 – ident: ref24 doi: 10.1109/FUZZ-IEEE.2018.8491620 – ident: ref31 doi: 10.1109/TPAMI.2016.2609928 – start-page: 254 year: 2014 ident: ref16 article-title: A scale adaptive kernel correlation filter tracker with feature integration publication-title: Proc Eur Conf Comput Vis – ident: ref27 doi: 10.1109/TVT.2020.2983143 – start-page: 1436 year: 2009 ident: ref8 article-title: Robust visual tracking using l1 minimization publication-title: Proc IEEE 12th Int Conf Comput Vis – ident: ref19 doi: 10.1109/TFUZZ.2015.2426212 – start-page: 809 year: 2013 ident: ref10 article-title: Learning a deep compact image representation for visual tracking publication-title: Proc Adv Neural Inf Process Syst – ident: ref13 doi: 10.1109/TPAMI.2014.2345390 – ident: ref5 doi: 10.1117/1.JEI.22.4.041121 – ident: ref1 doi: 10.1007/s11042-016-3647-0 – ident: ref22 doi: 10.1109/FUZZ-IEEE.2014.6891614 – ident: ref11 doi: 10.1109/CVPR.2010.5539960 – ident: ref12 doi: 10.1007/978-3-642-33765-9_50 – ident: ref7 doi: 10.1007/978-3-540-88682-2_19 – ident: ref18 doi: 10.1109/CVPR.2015.7298675 – ident: ref14 doi: 10.1109/CVPR.2014.143 – ident: ref26 doi: 10.1002/cne.22512 – ident: ref28 doi: 10.1016/j.trc.2009.04.006 – ident: ref4 doi: 10.1109/TITS.2014.2354372
SSID	ssj0014518
Score	2.6860056
Snippet	Today, a new generation of artificial intelligence has brought several new research domains such as computer vision (CV). Thus, target tracking, the base of...
SourceID	proquest crossref ieee
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	90
SubjectTerms	Algorithms Artificial intelligence Complex environment Computer vision Correlation Domains fuzzy detection Fuzzy logic Fuzzy sets Fuzzy systems Mathematical model Object recognition Optical tracking OTB100 Real time Target tracking Tracking visual tracking Visualization
Title	Fuzzy Detection Aided Real-Time and Robust Visual Tracking Under Complex Environments
URI	https://ieeexplore.ieee.org/document/9132673 https://www.proquest.com/docview/2475958961
Volume	29
WOSCitedRecordID	wos000606580300001&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: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1941-0034 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014518 issn: 1063-6706 databaseCode: RIE dateStart: 19930101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwED_c8EEfnJ84v8iDbxpt0zZpHoc6fBoim4gvpc0lMBiduFbUv94k68ZAEXwotJA0ob9e7i65ux_AORYKhUgjyqx2p7ESAc0jg9SaurkoWBAVAj3ZhBgM0udn-bAGl8tcGK21Dz7TV-7Wn-XjVNVuq-xaWteJi6gFLSHEPFdreWIQJ-E87Y1HlIuALxJkAnk97I9eXqwryKyH6lSu4_ZeUUKeVeXHUuz1S7_zv5ltw1ZjR5LeHPgdWNPlLnQWHA2kEdld2FwpOLgHo3799fVJbnXlI7BK0hujRvJorUXqkkFIXtqnaVHPKvI0ntV2BKvMlNtOJ54hibgRJvqD3K0kyO3b994Nb-5pQ6xAFZNJRYtQ5jouEoWxk0nkscQ4FKjjNDTcXoohQyvKsjBWQlMVKGZMyHRgDDOpiA6gXU5LfQiE215uHTC6wDhNTM4x56GROTqyPwy6EC6-dKaaquOO_GKSee8jkJlHJ3PoZA06XbhY9nmd19z4s_Wew2PZsoGiCycLQLNGLGcZc9UNk1Ty8Oj3XsewwVzQit9jOYF29VbrU1hX79V49nbm_7hv8PnTNw
linkProvider	IEEE
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3da9swED_adNDuod36wdKPTQ97W9VYsixZj6Vr6FgXxkhH6YuxdRIEilMae2z56ycpTghsDPZgsEGyhH8-3Z10dz-A91gZVCpPKffanQqjElqmDqk3dUtV8SStFEayCTUa5ff3-usGnK9yYay1MfjMXoTbeJaPU9OGrbKB9q6TVOkmbGVCcLbI1lqdGYiMLRLfZEqlSuQyRSbRg_Hw7uHBO4Pc-6hB6QZ27zU1FHlV_liMo4YZ7v3f3F7BbmdJkssF9K9hw9b7sLdkaSCd0O7Dy7WSgwdwN2zn81_ko21iDFZNLidokXzz9iIN6SCkrP3TtGpnDfk-mbV-BK_OTNhQJ5EjiYQRHu1Pcr2WInfo33s9vrqhHbUCNVxnDa2YLq2oMoMiSCVKoVEwhVbkzEl_GY4cvTDrynkZzU1iuHOM28Q57nKVHkGvntb2DRDpe4WVwNkKRZ65UmIpmdMlBro_TPrAll-6MF3d8UB_8VhE_yPRRUSnCOgUHTp9-LDq87SouvHP1gcBj1XLDoo-nC4BLTrBnBU81DfMci3Z8d97vYPtm_GX2-L20-jzCezwEMISd1xOodc8t_YMXpgfzWT2_Db-fb8BFhvWfg
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=Fuzzy+Detection+Aided+Real-Time+and+Robust+Visual+Tracking+Under+Complex+Environments&rft.jtitle=IEEE+transactions+on+fuzzy+systems&rft.au=Liu%2C+Shuai&rft.au=Wang%2C+Shuai&rft.au=Liu%2C+Xinyu&rft.au=Chin-Teng%2C+Lin&rft.date=2021-01-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.issn=1063-6706&rft.eissn=1941-0034&rft.volume=29&rft.issue=1&rft.spage=90&rft_id=info:doi/10.1109%2FTFUZZ.2020.3006520&rft.externalDBID=NO_FULL_TEXT
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1063-6706&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1063-6706&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1063-6706&client=summon