{"id":"https://openalex.org/W4372260587","doi":"https://doi.org/10.1109/icassp49357.2023.10095463","title":"Learning to Reconnect Interrupted Trajectories for Weakly Supervised Multi-Object Tracking","display_name":"Learning to Reconnect Interrupted Trajectories for Weakly Supervised Multi-Object Tracking","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260587","doi":"https://doi.org/10.1109/icassp49357.2023.10095463"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5089655643","display_name":"Yu-Lei Li","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu-Lei Li","raw_affiliation_strings":["Xiamen University,Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics,China","Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics,China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454257","display_name":"Lu Yang","orcid":"https://orcid.org/0000-0002-5428-7874"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Lu","raw_affiliation_strings":["Xiamen University,Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics,China","Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics,China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642867","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-7950-4233"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Xidian University,Video and Image Processing System Laboratory, School of Electronic Engineering,China","Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Xidian University,Video and Image Processing System Laboratory, School of Electronic Engineering,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044594971","display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Xiamen University,Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics,China","Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University,Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics,China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089655643"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.6141,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68270442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9940000176429749,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8304436206817627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7343329191207886},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6963470578193665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6714661121368408},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6184300780296326},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5154281854629517},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5026016235351562},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4267575740814209},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4245331287384033},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39544469118118286},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.39238184690475464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3735642433166504},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13306772708892822}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8304436206817627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7343329191207886},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6963470578193665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6714661121368408},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6184300780296326},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5154281854629517},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5026016235351562},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4267575740814209},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4245331287384033},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39544469118118286},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.39238184690475464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3735642433166504},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13306772708892822},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2124781496","https://openalex.org/W2291627510","https://openalex.org/W2511791013","https://openalex.org/W2945164022","https://openalex.org/W3012922853","https://openalex.org/W3084173793","https://openalex.org/W3086436251","https://openalex.org/W3104778224","https://openalex.org/W3112488957","https://openalex.org/W3157506437","https://openalex.org/W3157914380","https://openalex.org/W3162418282","https://openalex.org/W3162476243","https://openalex.org/W3163465952","https://openalex.org/W3176403636","https://openalex.org/W4206519819","https://openalex.org/W4213179364","https://openalex.org/W4224933829","https://openalex.org/W4225274309","https://openalex.org/W4285604868","https://openalex.org/W4286904999","https://openalex.org/W4287765513","https://openalex.org/W4313117614","https://openalex.org/W4385245566","https://openalex.org/W6696672603","https://openalex.org/W6739901393","https://openalex.org/W6761855798","https://openalex.org/W6775253321","https://openalex.org/W6779032806","https://openalex.org/W6787315956","https://openalex.org/W6795045487","https://openalex.org/W6795140394","https://openalex.org/W6795252178","https://openalex.org/W6795573818"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W4205463238","https://openalex.org/W259157601","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Recently,":[0],"some":[1],"weakly":[2,64,96],"supervised":[3,65,97],"multi-object":[4],"tracking":[5,40],"(MOT)":[6],"methods":[7,99],"learn":[8],"identity":[9,14,25],"embedding":[10,81],"features":[11,82],"with":[12],"pseudo":[13,24,58],"labels":[15,26],"rather":[16],"than":[17],"the":[18,37,52,109],"high-cost":[19],"manual":[20],"ones.":[21],"However,":[22],"these":[23],"may":[27],"contain":[28],"many":[29],"false":[30],"or":[31],"missing":[32],"identities,":[33],"which":[34],"adversely":[35],"affect":[36],"optimization":[38],"of":[39,46,86],"networks,":[41],"resulting":[42],"in":[43],"interrupted":[44,53],"trajectories":[45,54,85],"occluded":[47,87],"targets.":[48,88],"To":[49],"effectively":[50],"reconnect":[51],"caused":[55],"by":[56,100],"noisy":[57],"labels,":[59],"we":[60],"propose":[61],"a":[62,70],"novel":[63],"MOT":[66,98],"method":[67],"based":[68],"on":[69,106],"Trajectory-Reconnecting":[71],"Transformer":[72],"(TRTMOT).":[73],"TRT-MOT":[74],"performs":[75],"feature":[76],"decoupling":[77],"to":[78],"extract":[79],"discriminative":[80],"for":[83,108],"reconnecting":[84],"Experimental":[89],"results":[90],"show":[91],"that":[92],"TRTMOT":[93],"outperforms":[94],"previous":[95],"at":[101],"least":[102],"+3.6":[103],"and":[104,111],"+5.6":[105],"MOTA":[107],"MOT17":[110],"MOT20":[112],"datasets,":[113],"respectively.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}