{"id":"https://openalex.org/W4402260564","doi":"https://doi.org/10.23919/acc60939.2024.10644248","title":"DATrack: MCMOT Based on Feature Decoupling and Adaptive Motion Association","display_name":"DATrack: MCMOT Based on Feature Decoupling and Adaptive Motion Association","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4402260564","doi":"https://doi.org/10.23919/acc60939.2024.10644248"},"language":"en","primary_location":{"id":"doi:10.23919/acc60939.2024.10644248","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc60939.2024.10644248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","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/A5103262573","display_name":"Ao Cheng","orcid":"https://orcid.org/0000-0002-0472-2890"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Cheng","raw_affiliation_strings":["School of Transportation and Logistics Engineering, Wuhan University of Technology,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation and Logistics Engineering, Wuhan University of Technology,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709541","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0001-5632-4408"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["School of Transportation and Logistics Engineering, Wuhan University of Technology,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation and Logistics Engineering, Wuhan University of Technology,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114585452","display_name":"Feiyang Liu","orcid":"https://orcid.org/0009-0009-7697-311X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyang Liu","raw_affiliation_strings":["School of Transportation and Logistics Engineering, Wuhan University of Technology,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation and Logistics Engineering, Wuhan University of Technology,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073321149","display_name":"Xinyv Li","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyv Li","raw_affiliation_strings":["School of Transportation and Logistics Engineering, Wuhan University of Technology,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation and Logistics Engineering, Wuhan University of Technology,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6562,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69560557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4384","last_page":"4389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9948999881744385,"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/decoupling","display_name":"Decoupling (probability)","score":0.7992079854011536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6529965996742249},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5878626704216003},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5402976274490356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5163087248802185},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5056822299957275},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4328337013721466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4320470094680786},{"id":"https://openalex.org/keywords/feature-tracking","display_name":"Feature tracking","score":0.42815566062927246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2545959949493408},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11720696091651917},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.07788729667663574},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.04309985041618347}],"concepts":[{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.7992079854011536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6529965996742249},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5878626704216003},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5402976274490356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5163087248802185},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5056822299957275},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4328337013721466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4320470094680786},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.42815566062927246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2545959949493408},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11720696091651917},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.07788729667663574},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.04309985041618347},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc60939.2024.10644248","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc60939.2024.10644248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2193145675","https://openalex.org/W2252355370","https://openalex.org/W2484332996","https://openalex.org/W2603203130","https://openalex.org/W2943255856","https://openalex.org/W2963037989","https://openalex.org/W3035694605","https://openalex.org/W3084173793","https://openalex.org/W3104218139","https://openalex.org/W3106250896","https://openalex.org/W3106763294","https://openalex.org/W3184439416","https://openalex.org/W4286904999","https://openalex.org/W4317798200","https://openalex.org/W4323066717","https://openalex.org/W4386076204","https://openalex.org/W6620707391","https://openalex.org/W6798838024","https://openalex.org/W6850403204"],"related_works":["https://openalex.org/W4313561376","https://openalex.org/W3103825105","https://openalex.org/W3027880158","https://openalex.org/W2389084676","https://openalex.org/W1998764991","https://openalex.org/W2352562594","https://openalex.org/W2031358465","https://openalex.org/W2375117482","https://openalex.org/W286567303","https://openalex.org/W2007874760"],"abstract_inverted_index":{"Multi-class":[0],"multi-object":[1],"tracking":[2,158],"(MCMOT)":[3],"is":[4,45,84],"crucial":[5],"for":[6,34,40],"risk":[7],"perception":[8],"in":[9,69,94,107],"autonomous":[10],"vehicles.":[11],"However,":[12],"the":[13,53,63,66,72,88,102,108,113,124,130,134,142],"complex":[14],"environment":[15],"and":[16,23,36,58,104,116,122],"intense":[17],"camera":[18,127],"movement":[19],"exacerbate":[20],"false":[21],"detections":[22],"trajectory":[24,91],"interruptions.":[25],"Therefore,":[26],"an":[27,78,171],"MCMOT":[28],"algorithm":[29],"based":[30],"on":[31,141,170],"feature":[32],"decoupling":[33],"detection":[35,75,118],"adaptive":[37,79],"motion":[38,80,128],"association":[39],"online":[41],"tracking,":[42],"named":[43],"DATrack,":[44],"proposed.":[46],"Firstly,":[47],"we":[48],"introduce":[49],"TSCODE":[50],"to":[51,61,86,112],"de-couple":[52],"learned":[54],"representation":[55],"into":[56],"classification-specific":[57],"localization-specific":[59],"features":[60],"alleviate":[62],"contradiction":[64],"between":[65],"two":[67,97],"branches":[68],"YOLOX,":[70],"enhancing":[71],"multiclass":[73],"object":[74,117],"accuracy.":[76],"Additionally,":[77],"prediction":[81],"(AMP)":[82],"module":[83],"proposed":[85],"enhance":[87],"accuracy":[89,159],"of":[90,126,133],"state":[92],"estimation":[93],"ByteTrack":[95],"from":[96],"aspects:":[98],"(1)":[99],"adaptively":[100],"adjusting":[101],"process":[103],"observation":[105],"noise":[106],"Kalman":[109],"filter":[110],"according":[111],"matching":[114,136],"cost":[115],"confidence;":[119],"(2)":[120],"estimating":[121],"mitigating":[123],"impact":[125],"through":[129],"positional":[131],"deviation":[132],"initial":[135],"results.":[137],"The":[138],"experimental":[139],"results":[140],"BDD100K":[143],"MOT":[144],"validation":[145],"dataset":[146],"demonstrate":[147],"that,":[148],"compared":[149],"with":[150],"other":[151],"state-of-the-art":[152],"methods,":[153],"our":[154],"approach":[155],"achieves":[156],"higher":[157],"(MOTA":[160],"58.6%,":[161],"IDF1":[162],"63.5%)":[163],"while":[164],"maintaining":[165],"real-time":[166],"performance":[167],"(27.6":[168],"FPS":[169],"NVIDIA":[172],"RTX":[173],"2080Ti).":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}