{"id":"https://openalex.org/W4408355291","doi":"https://doi.org/10.1109/icassp49660.2025.10887724","title":"TrackFusion: Enhancing Multi-Object Tracking With Temporal Trajectory Modeling and Frame-Integrated Detection","display_name":"TrackFusion: Enhancing Multi-Object Tracking With Temporal Trajectory Modeling and Frame-Integrated Detection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355291","doi":"https://doi.org/10.1109/icassp49660.2025.10887724"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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/A5101558114","display_name":"Xinhao Zhang","orcid":"https://orcid.org/0000-0003-4322-0217"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinhao Zhang","raw_affiliation_strings":["Dalian University of Technology,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867967","display_name":"Shuai Liu","orcid":"https://orcid.org/0000-0002-0454-1096"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Liu","raw_affiliation_strings":["Hebei University of Technology,China"],"affiliations":[{"raw_affiliation_string":"Hebei University of Technology,China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006999205","display_name":"Bingyang Wang","orcid":"https://orcid.org/0009-0000-0249-5375"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyang Wang","raw_affiliation_strings":["Dalian University of Technology,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009725064","display_name":"Jiaojiao Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaojiao Dai","raw_affiliation_strings":["Dalian University of Technology,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091365634","display_name":"Jinqing Qi","orcid":"https://orcid.org/0000-0002-3777-2405"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqing Qi","raw_affiliation_strings":["Dalian University of Technology,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006986293","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0002-6668-9758"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huchuan Lu","raw_affiliation_strings":["Dalian University of Technology,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016380250","display_name":"You He","orcid":"https://orcid.org/0000-0002-2942-1699"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You He","raw_affiliation_strings":["Tsinghua University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101558114"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":1.3104,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77923121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9602000117301941,"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":0.9602000117301941,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9569000005722046,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/trajectory","display_name":"Trajectory","score":0.7515039443969727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7470623850822449},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6305720806121826},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5974541902542114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5695454478263855},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5388875007629395},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4872697591781616},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.46506503224372864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4636809229850769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1219964325428009}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7515039443969727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470623850822449},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6305720806121826},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5974541902542114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5695454478263855},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5388875007629395},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4872697591781616},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.46506503224372864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4636809229850769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1219964325428009},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/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/icassp49660.2025.10887724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2124211486","https://openalex.org/W2124781496","https://openalex.org/W2194775991","https://openalex.org/W2252355370","https://openalex.org/W2511791013","https://openalex.org/W2603203130","https://openalex.org/W2898713292","https://openalex.org/W3084173793","https://openalex.org/W3086436251","https://openalex.org/W3095753995","https://openalex.org/W3096609285","https://openalex.org/W3167949052","https://openalex.org/W4286904999","https://openalex.org/W4312473433","https://openalex.org/W4312689495","https://openalex.org/W4313072323","https://openalex.org/W4319300181","https://openalex.org/W4385575022","https://openalex.org/W4386076204","https://openalex.org/W4386536192","https://openalex.org/W4390872615","https://openalex.org/W6739901393","https://openalex.org/W6784094891","https://openalex.org/W6788023325","https://openalex.org/W6859298233","https://openalex.org/W6862714657"],"related_works":["https://openalex.org/W2373557848","https://openalex.org/W2002488624","https://openalex.org/W2088970451","https://openalex.org/W4309225183","https://openalex.org/W2157008402","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193"],"abstract_inverted_index":{"Although":[0],"MOTIP":[1,18,82],"is":[2],"the":[3,29,34,38,43,47,65,69,75,78,94,106,117,139,142,154,165,175],"SOTA":[4],"multi-object":[5],"tracking":[6],"method,":[7],"there":[8],"are":[9],"still":[10,19],"some":[11],"issues":[12],"that":[13],"limit":[14],"its":[15],"performance.":[16,103],"First,":[17,126],"has":[20],"defects":[21],"in":[22,50,53,100,130,145],"temporal":[23,59],"information":[24,36,67,96],"modeling,":[25],"which":[26,89,112],"leads":[27],"to":[28,31,169,186],"failure":[30],"fully":[32,92],"utilize":[33,93],"historical":[35],"of":[37,46,68,77,119,141,183],"tracked":[39],"target":[40],"and":[41,61,122,150],"affects":[42],"correlation":[44,95],"performance":[45,115],"model.":[48],"Second,":[49],"MOT,":[51],"objects":[52],"consecutive":[54],"video":[55,131],"frames":[56,147],"usually":[57],"have":[58],"continuity":[60],"spatial":[62],"consistency.":[63],"Therefore,":[64],"object":[66,144],"previous":[70],"frame":[71],"can":[72],"effectively":[73,163],"assist":[74],"detection":[76,85],"current":[79],"frame.":[80],"However,":[81],"performs":[83],"independent":[84],"between":[86,97],"each":[87],"frame,":[88],"does":[90],"not":[91],"frames,":[98],"resulting":[99],"suboptimal":[101],"model":[102,114],"To":[104],"address":[105],"above":[107],"problems,":[108],"we":[109,127],"propose":[110],"TrackFusion,":[111],"optimizes":[113],"from":[116],"perspective":[118],"trajectory":[120,155],"modeling":[121,156],"inter-frame":[123],"joint":[124],"detection.":[125],"extract":[128],"embeddings":[129,140],"sequences":[132,149],"through":[133],"a":[134],"Transformer-based":[135],"detector,":[136],"then":[137],"combine":[138],"same":[143],"different":[146],"into":[148,153],"input":[151],"them":[152],"module":[157],"for":[158],"sequence":[159],"association.":[160],"This":[161],"strategy":[162],"enhances":[164],"association":[166],"ability.":[167],"Thanks":[168],"these":[170],"improvements,":[171],"TrackFusion\u2019s":[172],"HOTA":[173],"on":[174],"DanceTrack":[176],"test":[177],"set":[178],"reached":[179],"68.6%,":[180],"an":[181],"increase":[182],"1.1%":[184],"compared":[185],"MOTIP\u2019s":[187],"67.5%.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}