MHT-X: offline multiple hypothesis tracking with algorithm X
An efficient and versatile implementation of offline multiple hypothesis tracking with Algorithm X for optimal association search was developed using Python. The code is intended for scientific applications that do not require online processing. Directed graph framework is used and multiple scans wi...
Gespeichert in:
| Veröffentlicht in: | Experiments in fluids Jg. 63; H. 3 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.03.2022
Springer Nature B.V |
| Schlagworte: | |
| ISSN: | 0723-4864, 1432-1114 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | An efficient and versatile implementation of offline multiple hypothesis tracking with Algorithm X for optimal association search was developed using Python. The code is intended for scientific applications that do not require online processing. Directed graph framework is used and multiple scans with progressively increasing time window width are used for edge construction for maximum likelihood trajectories. The current version of the code was developed for applications in multi-phase hydrodynamics, e.g., bubble and particle tracking, and is capable of resolving object motion, merges and splits. Feasible object associations and trajectory graph edge likelihoods are determined using weak mass and momentum conservation laws translated to statistical functions for object properties. The code is compatible with n-dimensional motion with arbitrarily many tracked object properties. This framework is easily extendable beyond the present application by replacing the currently used heuristics with ones more appropriate for the problem at hand. The code is open-source and will be continuously developed further.
Graphical abstract |
|---|---|
| AbstractList | An efficient and versatile implementation of offline multiple hypothesis tracking with Algorithm X for optimal association search was developed using Python. The code is intended for scientific applications that do not require online processing. Directed graph framework is used and multiple scans with progressively increasing time window width are used for edge construction for maximum likelihood trajectories. The current version of the code was developed for applications in multi-phase hydrodynamics, e.g., bubble and particle tracking, and is capable of resolving object motion, merges and splits. Feasible object associations and trajectory graph edge likelihoods are determined using weak mass and momentum conservation laws translated to statistical functions for object properties. The code is compatible with n-dimensional motion with arbitrarily many tracked object properties. This framework is easily extendable beyond the present application by replacing the currently used heuristics with ones more appropriate for the problem at hand. The code is open-source and will be continuously developed further. An efficient and versatile implementation of offline multiple hypothesis tracking with Algorithm X for optimal association search was developed using Python. The code is intended for scientific applications that do not require online processing. Directed graph framework is used and multiple scans with progressively increasing time window width are used for edge construction for maximum likelihood trajectories. The current version of the code was developed for applications in multi-phase hydrodynamics, e.g., bubble and particle tracking, and is capable of resolving object motion, merges and splits. Feasible object associations and trajectory graph edge likelihoods are determined using weak mass and momentum conservation laws translated to statistical functions for object properties. The code is compatible with n-dimensional motion with arbitrarily many tracked object properties. This framework is easily extendable beyond the present application by replacing the currently used heuristics with ones more appropriate for the problem at hand. The code is open-source and will be continuously developed further. Graphical abstract |
| ArticleNumber | 55 |
| Author | Zvejnieks, Peteris Klevs, Martins Birjukovs, Mihails Akashi, Megumi Eckert, Sven Jakovics, Andris |
| Author_xml | – sequence: 1 givenname: Peteris surname: Zvejnieks fullname: Zvejnieks, Peteris email: peteris.zvejnieks@lu.lv organization: Institute of Numerical Modelling, University of Latvia (UL) – sequence: 2 givenname: Mihails orcidid: 0000-0002-4753-737X surname: Birjukovs fullname: Birjukovs, Mihails email: mihails.birjukovs@lu.lv organization: Institute of Numerical Modelling, University of Latvia (UL) – sequence: 3 givenname: Martins surname: Klevs fullname: Klevs, Martins organization: Institute of Numerical Modelling, University of Latvia (UL) – sequence: 4 givenname: Megumi surname: Akashi fullname: Akashi, Megumi organization: Department of Magnetohydrodynamics, Helmholtz-Zentrum Dresden-Rossendorf (HZDR) – sequence: 5 givenname: Sven surname: Eckert fullname: Eckert, Sven organization: Department of Magnetohydrodynamics, Helmholtz-Zentrum Dresden-Rossendorf (HZDR) – sequence: 6 givenname: Andris surname: Jakovics fullname: Jakovics, Andris organization: Institute of Numerical Modelling, University of Latvia (UL) |
| BookMark | eNp9kEFLAzEQhYNUsK3-AU8LnqOTTbKbFS9S1AoVLxV6CzHNtqnbzZqkSP-9sSsIHnqaObxv3ps3QoPWtQahSwLXBKC8CQCUCQx5joHSqsL8BA0JozkmhLABGkKZU8xEwc7QKIQNAOEViCG6e5nO8eI2c3Xd2NZk210TbdeYbL3vXFybYEMWvdIftl1lXzauM9WsnE_LNluco9NaNcFc_M4xent8mE-mePb69Dy5n2FNSRVxYYSqU0CqNBWGFjVRUBld6LykjMFSqPclYzVwJSpmQGmtCS94WYCguuSUjtFVf7fz7nNnQpQbt_NtspR5QUteCnZQ5b1KexeCN7XsvN0qv5cE5E9Lsm9JppbkoSXJEyT-QdpGFa1r09e2OY7SHg3Jp10Z_5fqCPUN1H98qw |
| CitedBy_id | crossref_primary_10_1007_s00348_024_03856_3 crossref_primary_10_1007_s00348_024_03793_1 crossref_primary_10_1016_j_inffus_2024_102247 crossref_primary_10_1016_j_bpj_2025_06_008 crossref_primary_10_1016_j_ijmultiphaseflow_2024_104932 crossref_primary_10_1007_s00348_022_03445_2 |
| Cites_doi | 10.1007/s00348-019-2703-8 10.1016/j.ijmultiphaseflow.2019.03.027 10.22364/mhd.56.2-3.8 10.1109/MAES.2004.1263228 10.1007/s00348-020-2939-3 10.1103/PhysRevFluids.5.061601 10.1109/34.481539 10.1007/s11663-020-01864-2 10.3390/app11209710 10.1109/TAC.1979.1102177 10.1007/s11663-016-0902-8 10.1007/s11663-019-01720-y 10.3233/JAE-209116 10.1002/cite.201800127 10.1016/j.ijmultiphaseflow.2018.04.001 10.1016/j.phpro.2015.07.064 10.1109/ICCV.2015.533 10.1109/CVPR42600.2020.00628 10.1088/1757-899X/424/1/012047 10.5220/0003710600150024 |
| ContentType | Journal Article |
| Copyright | The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. |
| Copyright_xml | – notice: The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 – notice: The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. |
| DBID | AAYXX CITATION |
| DOI | 10.1007/s00348-022-03399-5 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Applied Sciences Engineering |
| EISSN | 1432-1114 |
| ExternalDocumentID | 10_1007_s00348_022_03399_5 |
| GrantInformation_xml | – fundername: European Regional Development Fund grantid: 1.1.1.1/18/A/108 funderid: http://dx.doi.org/10.13039/501100008530 |
| GroupedDBID | -5B -5G -BR -EM -Y2 -~C -~X .86 .VR 06D 0R~ 0VY 199 1N0 1SB 2.D 203 28- 29G 29~ 2J2 2JN 2JY 2KG 2KM 2LR 2P1 2VQ 2~H 30V 4.4 406 408 409 40D 40E 5GY 5QI 5VS 67Z 6NX 6TJ 78A 8TC 8UJ 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 ABDEX ABDPE ABDZT ABECU ABFTD 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 ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACZOJ ADHHG ADHIR ADIMF ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFIE AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFEXP AFGCZ AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AI. AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARCEE ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN B-. BA0 BBWZM BDATZ BGNMA BSONS CAG COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DU5 EBLON EBS EIOEI EJD ESBYG F5P FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GQ8 GXS H13 HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I09 IHE IJ- IKXTQ ITM IWAJR IXC IZIGR IZQ I~X I~Y I~Z J-C J0Z JBSCW JCJTX JZLTJ KDC KOV KOW LAS LLZTM M4Y MA- N2Q N9A NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM P19 P9P PF- PKN PT4 PT5 QOK QOS R4E R89 R9I RHV RIG RNI RNS ROL RPX RSV RZK S16 S1Z S26 S27 S28 S3B SAP SCLPG SCV SDH SDM SEG SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TN5 TSG TSK TSV TUC U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW VH1 W23 W48 WK8 YLTOR Z45 Z5O Z7R Z7S Z7V Z7W Z7X Z7Y Z7Z Z83 Z86 Z88 Z8M Z8N Z8P Z8Q Z8R Z8S Z8T Z8W Z8Z Z92 ZMTXR _50 ~02 ~EX AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC ADHKG AEZWR AFDZB AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION |
| ID | FETCH-LOGICAL-c319t-6e8af0033ac38e36f1a09ec6c273440d8abd44f05a894e0accc156576083c7533 |
| IEDL.DBID | RSV |
| ISICitedReferencesCount | 6 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000766169800002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0723-4864 |
| IngestDate | Sun Nov 09 06:35:54 EST 2025 Tue Nov 18 22:16:54 EST 2025 Sat Nov 29 02:19:39 EST 2025 Fri Feb 21 02:47:26 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c319t-6e8af0033ac38e36f1a09ec6c273440d8abd44f05a894e0accc156576083c7533 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-4753-737X |
| PQID | 2637578453 |
| PQPubID | 2043745 |
| ParticipantIDs | proquest_journals_2637578453 crossref_primary_10_1007_s00348_022_03399_5 crossref_citationtrail_10_1007_s00348_022_03399_5 springer_journals_10_1007_s00348_022_03399_5 |
| PublicationCentury | 2000 |
| PublicationDate | 2022-03-01 |
| PublicationDateYYYYMMDD | 2022-03-01 |
| PublicationDate_xml | – month: 03 year: 2022 text: 2022-03-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Berlin/Heidelberg |
| PublicationPlace_xml | – name: Berlin/Heidelberg – name: Heidelberg |
| PublicationSubtitle | Experimental Methods and their Applications to Fluid Flow |
| PublicationTitle | Experiments in fluids |
| PublicationTitleAbbrev | Exp Fluids |
| PublicationYear | 2022 |
| Publisher | Springer Berlin Heidelberg Springer Nature B.V |
| Publisher_xml | – name: Springer Berlin Heidelberg – name: Springer Nature B.V |
| References | Reid (CR18) 1979; 24 Obiso, Akashi, Kriebitzsch, Meyer, Reuter, Richter (CR17) 2020 Lappan, Sarma, Heitkam, Trtik, Mannes, Eckert, Eckert (CR16) 2020; 56 CR8 CR19 Keplinger, Shevchenko, Eckert (CR13) 2019; 116 CR15 Ščepanskis, Sarma, Vontobel, Trtik, Thomsen, Jakovics, Beinerts (CR21) 2017; 48 Anders, Noto, Tasaka, Eckert (CR3) 2020 CR14 Birjukovs, Dzelme, Jakovics, Thomsen, Trtik (CR5) 2020; 63 CR10 Heitkam, Lappan, Trtik, Eckert (CR11) 2019 Keplinger, Shevchenko, Eckert (CR12) 2018; 105 Blackman (CR7) 2004; 19 Akashi, Keplinger, Shevchenko, Anders, Reuter (CR1) 2019 Cox, Hingorani (CR9) 1996; 18 Anders, Noto, Seilmayer, Eckert (CR2) 2019; 60 Sarma, Ščepanskis, Jakovics, Thomsen, Nikoluškins, Vontobel, Beinerts, Bojarevics, Platacis (CR20) 2015; 69 Birjukovs, Dzelme, Jakovics, Thomsen, Trtik (CR4) 2020 Birjukovs, Trtik, Kaestner, Hovind, Klevs, Gawryluk, Thomsen, Jakovics (CR6) 2021 S Anders (3399_CR3) 2020 3399_CR8 3399_CR19 D Obiso (3399_CR17) 2020 3399_CR15 M Birjukovs (3399_CR6) 2021 3399_CR14 S Blackman (3399_CR7) 2004; 19 3399_CR10 O Keplinger (3399_CR12) 2018; 105 M Sarma (3399_CR20) 2015; 69 M Ščepanskis (3399_CR21) 2017; 48 M Akashi (3399_CR1) 2019 T Lappan (3399_CR16) 2020; 56 D Reid (3399_CR18) 1979; 24 M Birjukovs (3399_CR5) 2020; 63 IJ Cox (3399_CR9) 1996; 18 O Keplinger (3399_CR13) 2019; 116 S Heitkam (3399_CR11) 2019 S Anders (3399_CR2) 2019; 60 M Birjukovs (3399_CR4) 2020 |
| References_xml | – volume: 60 start-page: 68 year: 2019 ident: CR2 article-title: Spectral random masking: a novel dynamic masking technique for piv in multiphase flows publication-title: Exp Fluids doi: 10.1007/s00348-019-2703-8 – volume: 116 start-page: 39 year: 2019 end-page: 50 ident: CR13 article-title: Experimental investigation of bubble breakup in bubble chains rising in a liquid metal publication-title: Int J Multiph Flow doi: 10.1016/j.ijmultiphaseflow.2019.03.027 – volume: 56 start-page: 167 year: 2020 end-page: 176 ident: CR16 article-title: Neutron radiography of particle-laden liquid metal flow driven by an electromagnetic induction pump publication-title: Magnetohydrodynamics doi: 10.22364/mhd.56.2-3.8 – ident: CR19 – volume: 19 start-page: 5 year: 2004 end-page: 18 ident: CR7 article-title: Multiple hypothesis tracking for multiple target tracking publication-title: IEEE Aerosp Electron Syst Magaz doi: 10.1109/MAES.2004.1263228 – year: 2020 ident: CR3 article-title: Simultaneous optical measurement of temperature and velocity fields in solidifying liquids publication-title: Exp Fluids doi: 10.1007/s00348-020-2939-3 – year: 2020 ident: CR4 article-title: Phase boundary dynamics of bubble flow in a thick liquid metal layer under an applied magnetic field publication-title: Phys Rev Fluids doi: 10.1103/PhysRevFluids.5.061601 – volume: 18 start-page: 138 year: 1996 end-page: 150 ident: CR9 article-title: An efficient implementation of reid’s multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/34.481539 – year: 2020 ident: CR17 article-title: Cfd modeling and experimental validation of top-submerged-lance gas injection in liquid metal publication-title: Metall Mater Trans B doi: 10.1007/s11663-020-01864-2 – year: 2021 ident: CR6 article-title: Resolving gas bubbles ascending in liquid metal from low-snr neutron radiography images publication-title: Appl Scis doi: 10.3390/app11209710 – ident: CR14 – ident: CR15 – volume: 24 start-page: 843 issue: 6 year: 1979 end-page: 854 ident: CR18 article-title: An algorithm for tracking multiple targets publication-title: IEEE Trans Autom Control doi: 10.1109/TAC.1979.1102177 – volume: 48 start-page: 1045 year: 2017 end-page: 1054 ident: CR21 article-title: Assessment of electromagnetic stirrer agitated liquid metal flows by dynamic neutron radiography publication-title: Metall Mater Trans B doi: 10.1007/s11663-016-0902-8 – ident: CR10 – year: 2019 ident: CR1 article-title: X-ray radioscopic visualization of bubbly flows injected through a top submerged lance into a liquid metal publication-title: Metall Mater Trans B doi: 10.1007/s11663-019-01720-y – volume: 63 start-page: 1 year: 2020 end-page: 7 ident: CR5 article-title: Argon bubble flow in liquid gallium in external magnetic field publication-title: Int J Appl Electromagn Mech doi: 10.3233/JAE-209116 – ident: CR8 – year: 2019 ident: CR11 article-title: Tracking of particles in froth using neutron imaging publication-title: Chemie Ingenieur Technik doi: 10.1002/cite.201800127 – volume: 105 start-page: 159 year: 2018 end-page: 169 ident: CR12 article-title: Visualization of bubble coalescence in bubble chains rising in a liquid metal publication-title: Int J Multiph Flow doi: 10.1016/j.ijmultiphaseflow.2018.04.001 – volume: 69 start-page: 457 year: 2015 end-page: 463 ident: CR20 article-title: Neutron radiography visualization of solid particles in stirring liquid metal publication-title: Phys Proc doi: 10.1016/j.phpro.2015.07.064 – ident: 3399_CR14 doi: 10.1109/ICCV.2015.533 – volume: 19 start-page: 5 year: 2004 ident: 3399_CR7 publication-title: IEEE Aerosp Electron Syst Magaz doi: 10.1109/MAES.2004.1263228 – volume: 69 start-page: 457 year: 2015 ident: 3399_CR20 publication-title: Phys Proc doi: 10.1016/j.phpro.2015.07.064 – volume: 48 start-page: 1045 year: 2017 ident: 3399_CR21 publication-title: Metall Mater Trans B doi: 10.1007/s11663-016-0902-8 – volume: 63 start-page: 1 year: 2020 ident: 3399_CR5 publication-title: Int J Appl Electromagn Mech doi: 10.3233/JAE-209116 – ident: 3399_CR8 doi: 10.1109/CVPR42600.2020.00628 – year: 2019 ident: 3399_CR11 publication-title: Chemie Ingenieur Technik doi: 10.1002/cite.201800127 – ident: 3399_CR10 doi: 10.1088/1757-899X/424/1/012047 – volume: 60 start-page: 68 year: 2019 ident: 3399_CR2 publication-title: Exp Fluids doi: 10.1007/s00348-019-2703-8 – year: 2021 ident: 3399_CR6 publication-title: Appl Scis doi: 10.3390/app11209710 – volume: 56 start-page: 167 year: 2020 ident: 3399_CR16 publication-title: Magnetohydrodynamics doi: 10.22364/mhd.56.2-3.8 – year: 2020 ident: 3399_CR17 publication-title: Metall Mater Trans B doi: 10.1007/s11663-020-01864-2 – volume: 105 start-page: 159 year: 2018 ident: 3399_CR12 publication-title: Int J Multiph Flow doi: 10.1016/j.ijmultiphaseflow.2018.04.001 – year: 2020 ident: 3399_CR3 publication-title: Exp Fluids doi: 10.1007/s00348-020-2939-3 – ident: 3399_CR19 doi: 10.5220/0003710600150024 – volume: 24 start-page: 843 issue: 6 year: 1979 ident: 3399_CR18 publication-title: IEEE Trans Autom Control doi: 10.1109/TAC.1979.1102177 – year: 2019 ident: 3399_CR1 publication-title: Metall Mater Trans B doi: 10.1007/s11663-019-01720-y – volume: 116 start-page: 39 year: 2019 ident: 3399_CR13 publication-title: Int J Multiph Flow doi: 10.1016/j.ijmultiphaseflow.2019.03.027 – year: 2020 ident: 3399_CR4 publication-title: Phys Rev Fluids doi: 10.1103/PhysRevFluids.5.061601 – ident: 3399_CR15 – volume: 18 start-page: 138 year: 1996 ident: 3399_CR9 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/34.481539 |
| SSID | ssj0015908 |
| Score | 2.3977666 |
| Snippet | An efficient and versatile implementation of offline multiple hypothesis tracking with Algorithm X for optimal association search was developed using Python.... |
| SourceID | proquest crossref springer |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| SubjectTerms | Algorithms Conservation laws Engineering Engineering Fluid Dynamics Engineering Thermodynamics Fluid- and Aerodynamics Graph theory Heat and Mass Transfer Hypotheses Object motion Particle tracking Research Article Source code Windows (intervals) |
| Title | MHT-X: offline multiple hypothesis tracking with algorithm X |
| URI | https://link.springer.com/article/10.1007/s00348-022-03399-5 https://www.proquest.com/docview/2637578453 |
| Volume | 63 |
| WOSCitedRecordID | wos000766169800002&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: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1432-1114 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0015908 issn: 0723-4864 databaseCode: RSV dateStart: 19970101 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/eLvHCXMwnV3NS8MwFH_o9KAHp1NxOiUHbxpomzRNxYuIYwcdglN6K2mW6GBuo62C_71J13YqKuit0CSU99H38j5-D-BYEcdLGJdF5B7ToSJYyIRiV_pUs5DzJCgaha-Dfp9HUXhbNoVlVbV7lZIs_tR1s5uFUuHYVp87xJhV7C_Dim_RZuwd_e6hzh3YKd4F-KZHMOWMlq0y35_x2RwtfMwvadHC2nSb__vOTdgovUt0MReHLVhSkxY0S08TlXqctWD9AwzhNpzf9AY4OkNTra3TiaoiQ_T0NrMNWtkoQ3kqpI2qIxu4RWL8OE3NwzOKduC-ezW47OFyqgKWRt1yzBQX2o5wE5JwRZh2hRMqyaQFuqHOkItkSKl2fMFDqhwhpXRtbpQZZ02ayw3ZhcZkOlF7gELtiSBU1KXGifS5FsLYO1ckKtE0MLLRBrcibixLyHE7-WIc12DJBbFiQ6y4IFbst-Gk3jObA278urpT8SwulS-LPUYsSj_1SRtOKx4tXv982v7flh_AmjdnM3bcDjTy9EUdwqp8zUdZelQI5TvGZ9j2 |
| linkProvider | Springer Nature |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NS8MwFH_oFNSD06k4nZqDNw20Tdqm4kXEMXEbglN2K2mW6GBuo62C_71J13YqKuit0CSU99H38j5-D-BYEsuJPCayyD2mA0kwFxHFtnCp8gLGIj9rFG773S7r94PbvCksKardi5Rk9qcum90MlArDpvrcItqsYncRlqgZs2Pu6HcPZe7ATPHOwDcdginzaN4q8_0Zn83R3Mf8khbNrE2z-r_v3ID13LtEFzNx2IQFOa5BNfc0Ua7HSQ3WPsAQbsF5p9XD_TM0Uco4nagoMkRPb1PToJUME5TGXJioOjKBW8RHj5NYPzyj_jbcN696ly2cT1XAQqtbij3JuDIj3LggTBJP2dwKpPCEAbqh1oDxaECpslzOAiotLoSwTW7U086a0JcbsgOV8WQsdwEFyuF-IKnmgU9dpjjX9s7mkYwU9bVs1MEuiBuKHHLcTL4YhSVYckasUBMrzIgVunU4KfdMZ4Abv65uFDwLc-VLQscjBqWfuqQOpwWP5q9_Pm3vb8uPYKXV67TD9nX3Zh9WnRnLsWU3oJLGL_IAlsVrOkziw0xA3wH7BNva |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3dS8MwED90iuiDH1NxOjUPvmlY26RdKr6IOibOMXTK3kqaJjqY21ir4H9v0rXbFBXEt0LTUO6D-yV39zuAI0ksJ_SYSG_uMY0kwVyEFNvCpcrzGQuraaNwo9pssk7Hb8108afV7nlKctzTYFia-kllGKnKpPHN0KowbCrRLaJDLHbnYYHqk4wp6rq7f5zkEcxE75SI0yGYMo9mbTPf7_E5NE3x5pcUaRp5amv__-d1WM1QJzofm8kGzMl-EdYyBIoy_46LsDJDT7gJZ7f1Nu6cooFSBoyivPgQPb8PTeNW3I1RMuLC3LYjc6GLeO9pMNIPL6izBQ-1q_ZFHWfTFrDQbphgTzKuzGg3LgiTxFM2t3wpPGEIcKgVMR5GlCrL5cyn0uJCCNvkTD0N4oQ-9JBtKPQHfbkDyFcOr_qS2lSDS5cpznUctHkoQ0Wr2mZKYOeCDkRGRW4mYvSCCYlyKqxACytIhRW4JTiefDMcE3H8urqc6y_InDIOHI8Y9n7qkhKc5Pqavv55t92_LT-EpdZlLWhcN2_2YNkZaxxbdhkKyehV7sOieEu68eggtdUPMnLkvg |
| 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=MHT-X%3A+offline+multiple+hypothesis+tracking+with+algorithm+X&rft.jtitle=Experiments+in+fluids&rft.au=Zvejnieks%2C+Peteris&rft.au=Birjukovs%2C+Mihails&rft.au=Klevs%2C+Martins&rft.au=Akashi%2C+Megumi&rft.date=2022-03-01&rft.pub=Springer+Berlin+Heidelberg&rft.issn=0723-4864&rft.eissn=1432-1114&rft.volume=63&rft.issue=3&rft_id=info:doi/10.1007%2Fs00348-022-03399-5&rft.externalDocID=10_1007_s00348_022_03399_5 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0723-4864&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0723-4864&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0723-4864&client=summon |