{"id":"https://openalex.org/W4310269200","doi":"https://doi.org/10.1109/avss56176.2022.9959159","title":"FBMOT: Flow Bridges the Gap between Detection and Tracking in Multiple Object Tracking","display_name":"FBMOT: Flow Bridges the Gap between Detection and Tracking in Multiple Object Tracking","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4310269200","doi":"https://doi.org/10.1109/avss56176.2022.9959159"},"language":"en","primary_location":{"id":"doi:10.1109/avss56176.2022.9959159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss56176.2022.9959159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101454004","display_name":"Lisheng Wu","orcid":"https://orcid.org/0000-0002-3700-4721"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lisheng Wu","raw_affiliation_strings":["The University of Manchester Kilburn Building, Oxford Road,Manchester","The University of Manchester Kilburn Building, Oxford Road, Manchester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Manchester Kilburn Building, Oxford Road,Manchester","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"The University of Manchester Kilburn Building, Oxford Road, Manchester","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107942274","display_name":"Liuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liuan Wang","raw_affiliation_strings":["FUJITSU R&D CENTER CO., LTD.IFC, Chaoyang District,Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FUJITSU R&D CENTER CO., LTD.IFC, Chaoyang District,Beijing","institution_ids":["https://openalex.org/I4210094759"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101761197","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0001-6864-0803"},"institutions":[{"id":"https://openalex.org/I4210094759","display_name":"Fujitsu (United States)","ror":"https://ror.org/0073whr05","country_code":"US","type":"company","lineage":["https://openalex.org/I2252096349","https://openalex.org/I4210094759"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["FUJITSU R&D CENTER CO., LTD.IFC, Chaoyang District,Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FUJITSU R&D CENTER CO., LTD.IFC, Chaoyang District,Beijing","institution_ids":["https://openalex.org/I4210094759"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13826306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.8053731322288513},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7431851029396057},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.685042142868042},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6456897854804993},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6295955777168274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6285260915756226},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.604062557220459},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5713637471199036},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5699707269668579},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5522227883338928},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4828072786331177},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4629334807395935},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3354686200618744},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.29837098717689514},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2505413889884949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8053731322288513},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7431851029396057},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.685042142868042},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6456897854804993},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6295955777168274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6285260915756226},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.604062557220459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5713637471199036},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5699707269668579},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5522227883338928},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4828072786331177},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4629334807395935},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3354686200618744},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.29837098717689514},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2505413889884949},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss56176.2022.9959159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss56176.2022.9959159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1531192956","https://openalex.org/W2111644456","https://openalex.org/W2124781496","https://openalex.org/W2252355370","https://openalex.org/W2511791013","https://openalex.org/W2603203130","https://openalex.org/W2897582990","https://openalex.org/W2920942303","https://openalex.org/W2963351448","https://openalex.org/W2981393651","https://openalex.org/W3084173793","https://openalex.org/W3104218139","https://openalex.org/W3109908659","https://openalex.org/W3207452968"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2971088694","https://openalex.org/W4299904075","https://openalex.org/W2965594636"],"abstract_inverted_index":{"The":[0],"detection":[1,19,83],"performance":[2,9,81],"is":[3],"a":[4,22,99,126,142],"key":[5],"bottleneck":[6],"to":[7,25,77,97,130],"the":[8,17,26,33,43,51,64,71,80,103,110,115,138],"of":[10,28,55,82,105],"multiple":[11],"object":[12],"tracking":[13],"(MOT)":[14],"algorithms":[15,20],"and":[16,70,84,113,149,155],"advanced":[18],"contribute":[21],"large":[23],"portion":[24],"success":[27],"MOT":[29,58],"algorithms.":[30],"Even":[31],"though,":[32],"detectors":[34],"can":[35,74],"still":[36],"make":[37],"false":[38],"detections":[39],"based":[40],"on":[41],"only":[42],"image":[44],"frames,":[45],"which":[46,93],"may":[47],"directly":[48],"result":[49],"in":[50,109,121,137,152],"loss":[52,129],"or":[53],"mismatch":[54],"tracks.":[56],"In":[57,87],"tasks,":[59],"we":[60,90],"point":[61],"out":[62],"that":[63],"video":[65],"frames":[66],"are":[67],"temporally":[68],"correlated":[69],"temporal":[72],"relationship":[73],"be":[75],"leveraged":[76],"further":[78,124],"improve":[79],"subsequent":[85],"tracking.":[86],"our":[88,132,144],"work,":[89],"propose":[91],"FBMOT":[92],"uses":[94],"optical":[95],"flow":[96],"compute":[98],"prior":[100,139],"heatmap":[101,116],"about":[102],"locations":[104],"previously":[106],"tracked":[107],"objects":[108],"current":[111],"frame":[112],"takes":[114],"as":[117],"an":[118],"additional":[119],"input":[120],"detection.":[122],"We":[123],"proposed":[125],"novel":[127],"regularization":[128],"help":[131],"model":[133],"distinguish":[134],"useful":[135],"information":[136],"heatmap.":[140],"As":[141],"result,":[143],"method":[145],"improves":[146],"0.8,":[147],"1.0":[148],"2.7":[150],"MOTA":[151],"MOT16,":[153],"MOT17":[154],"MOT20":[156],"test":[157],"datasets":[158],"respectively.":[159]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}