{"id":"https://openalex.org/W4396239517","doi":"https://doi.org/10.1109/tmm.2024.3394683","title":"Single-Shot and Multi-Shot Feature Learning for Multi-Object Tracking","display_name":"Single-Shot and Multi-Shot Feature Learning for Multi-Object Tracking","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396239517","doi":"https://doi.org/10.1109/tmm.2024.3394683"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3394683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3394683","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114406735","display_name":"Yizhe Li","orcid":"https://orcid.org/0009-0004-1193-7007"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yizhe Li","raw_affiliation_strings":["National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113827261","display_name":"Sanping Zhou","orcid":"https://orcid.org/0000-0003-4100-2304"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanping Zhou","raw_affiliation_strings":["National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100535285","display_name":"Zheng Qin","orcid":"https://orcid.org/0009-0008-4301-8952"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng Qin","raw_affiliation_strings":["National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350774","display_name":"Le Wang","orcid":"https://orcid.org/0000-0001-6636-6396"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le Wang","raw_affiliation_strings":["National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746487","display_name":"Jinjun Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinjun Wang","raw_affiliation_strings":["National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114406735"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4583,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82395587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"26","issue":null,"first_page":"9515","last_page":"9526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.877875804901123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.812967836856842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7161431908607483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6280008554458618},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.571709394454956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5515154600143433},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5377609133720398},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47895294427871704},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4493933618068695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4485616683959961},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4338807463645935},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42482465505599976},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41669464111328125}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.877875804901123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.812967836856842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7161431908607483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6280008554458618},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.571709394454956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5515154600143433},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5377609133720398},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47895294427871704},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4493933618068695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4485616683959961},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4338807463645935},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42482465505599976},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41669464111328125},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3394683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3394683","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1622454000","display_name":null,"funder_award_id":"2020M683490","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2928293780","display_name":null,"funder_award_id":"62106192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3875897167","display_name":null,"funder_award_id":"2022JC-41","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G524075158","display_name":null,"funder_award_id":"12326608","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7600037353","display_name":null,"funder_award_id":"XTR042021005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8364406129","display_name":null,"funder_award_id":"2022T150518","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8808651841","display_name":null,"funder_award_id":"XTR072022001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1786529921","https://openalex.org/W2096733369","https://openalex.org/W2138302688","https://openalex.org/W2142996775","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2476548250","https://openalex.org/W2511791013","https://openalex.org/W2531440880","https://openalex.org/W2603203130","https://openalex.org/W2903788651","https://openalex.org/W2920942303","https://openalex.org/W2963150697","https://openalex.org/W2963696937","https://openalex.org/W2981393651","https://openalex.org/W2996695408","https://openalex.org/W3003937488","https://openalex.org/W3012922853","https://openalex.org/W3033355958","https://openalex.org/W3035727180","https://openalex.org/W3084173793","https://openalex.org/W3086436251","https://openalex.org/W3092725515","https://openalex.org/W3094000868","https://openalex.org/W3094502228","https://openalex.org/W3095753995","https://openalex.org/W3096068180","https://openalex.org/W3104218139","https://openalex.org/W3104778224","https://openalex.org/W3105077954","https://openalex.org/W3106763294","https://openalex.org/W3109466111","https://openalex.org/W3113093028","https://openalex.org/W3115390238","https://openalex.org/W3118725700","https://openalex.org/W3119686997","https://openalex.org/W3157260713","https://openalex.org/W3164698655","https://openalex.org/W3165926952","https://openalex.org/W3167949052","https://openalex.org/W3173209770","https://openalex.org/W3174690341","https://openalex.org/W3184439416","https://openalex.org/W3185016686","https://openalex.org/W3195775608","https://openalex.org/W3199298588","https://openalex.org/W4205537101","https://openalex.org/W4283748233","https://openalex.org/W4286904999","https://openalex.org/W4312473433","https://openalex.org/W4312619242","https://openalex.org/W4312689495","https://openalex.org/W4313011629","https://openalex.org/W4313072323","https://openalex.org/W4313117614","https://openalex.org/W4319866011","https://openalex.org/W4376133601","https://openalex.org/W4385245566","https://openalex.org/W4386071948","https://openalex.org/W4386075559","https://openalex.org/W4386076116","https://openalex.org/W4386076180","https://openalex.org/W4386076204","https://openalex.org/W6631190155","https://openalex.org/W6696672603","https://openalex.org/W6728374919","https://openalex.org/W6757817989","https://openalex.org/W6773628392","https://openalex.org/W6775253321","https://openalex.org/W6778706055","https://openalex.org/W6784094891","https://openalex.org/W6784333009","https://openalex.org/W6788023325","https://openalex.org/W6798838024","https://openalex.org/W6799133303"],"related_works":["https://openalex.org/W3142396426","https://openalex.org/W2471333042","https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W2955491601","https://openalex.org/W4396643691","https://openalex.org/W146529714","https://openalex.org/W4402383816","https://openalex.org/W2316500695","https://openalex.org/W1999226266"],"abstract_inverted_index":{"Multi-Object":[0],"Tracking":[1],"(MOT)":[2],"remains":[3],"a":[4,18,25,32,64,101,131,152,158],"vital":[5],"component":[6],"of":[7,111,141],"intelligent":[8],"video":[9,26],"analysis,":[10],"which":[11,47,114,144],"aims":[12],"to":[13,41,72,84,107,137],"locate":[14],"targets":[15,118,150],"and":[16,39,54,76,174,191],"maintain":[17],"consistent":[19],"identity":[20],"for":[21,79],"each":[22,112,142],"target":[23],"throughout":[24],"sequence.":[27],"Existing":[28],"works":[29],"usually":[30],"learn":[31,74],"discriminative":[33,109,139],"feature":[34,69,104,134,176],"representation,":[35],"such":[36],"as":[37,83],"motion":[38],"appearance,":[40],"associate":[42,117],"the":[43,90,94,123,163,172],"detections":[44,95],"across":[45],"frames,":[46,128],"are":[48],"easily":[49],"affected":[50],"by":[51],"mutual":[52],"occlusion":[53],"background":[55],"clutter":[56],"in":[57,89],"practice.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,99,129],"propose":[63],"simple":[65,159],"yet":[66],"effective":[67],"two-stage":[68],"learning":[70,105,135],"paradigm":[71],"jointly":[73],"single-shot":[75,103,173],"multi-shot":[77,133,175],"features":[78,110,140],"different":[80],"targets,":[81],"so":[82],"achieve":[85],"robust":[86,168],"data":[87,160],"association":[88,161],"tracking":[91],"process.":[92],"For":[93,122],"without":[96],"being":[97,125],"associated,":[98],"design":[100,130],"novel":[102,132],"module":[106,136],"extract":[108,138],"detection,":[113],"can":[115,145,166],"efficiently":[116],"between":[119],"adjacent":[120],"frames.":[121],"tracklets":[124],"lost":[126,149],"several":[127],"tracklet,":[143],"accurately":[146],"refind":[147],"these":[148],"after":[151],"long":[153],"period.":[154],"Once":[155],"equipped":[156],"with":[157],"logic,":[162],"resulting":[164],"VisualTracker":[165],"perform":[167],"MOT":[169],"based":[170],"on":[171,189,198],"representations.":[177],"Extensive":[178],"experimental":[179],"results":[180],"demonstrate":[181],"that":[182],"our":[183],"method":[184],"has":[185],"achieved":[186],"significant":[187],"improvements":[188],"MOT17":[190],"MOT20":[192],"datasets":[193],"while":[194],"reaching":[195],"state-of-the-art":[196],"performance":[197],"DanceTrack":[199],"dataset.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}