{"id":"https://openalex.org/W4411446733","doi":"https://doi.org/10.1109/tvt.2025.3581444","title":"AMF-MOT: Multi-Object Tracking Based on Motion-Appearance Feature Fusion for Object Vehicle Loss and Occlusion","display_name":"AMF-MOT: Multi-Object Tracking Based on Motion-Appearance Feature Fusion for Object Vehicle Loss and Occlusion","publication_year":2025,"publication_date":"2025-06-19","ids":{"openalex":"https://openalex.org/W4411446733","doi":"https://doi.org/10.1109/tvt.2025.3581444"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3581444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3581444","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5101560619","display_name":"Mingchun Cao","orcid":"https://orcid.org/0009-0002-8640-477X"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchun Cao","raw_affiliation_strings":["Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0002-8640-477X","affiliations":[{"raw_affiliation_string":"Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451081","display_name":"Chunyan Wang","orcid":"https://orcid.org/0000-0002-3913-8192"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Wang","raw_affiliation_strings":["Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3913-8192","affiliations":[{"raw_affiliation_string":"Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031097117","display_name":"Wanzhong Zhao","orcid":"https://orcid.org/0009-0008-8651-6011"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanzhong Zhao","raw_affiliation_strings":["Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0008-8651-6011","affiliations":[{"raw_affiliation_string":"Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100706050","display_name":"Ziyu Zhang","orcid":"https://orcid.org/0000-0002-2624-1270"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Zhang","raw_affiliation_strings":["Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2624-1270","affiliations":[{"raw_affiliation_string":"Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.7655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71189015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"74","issue":"11","first_page":"16920","last_page":"16934"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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":0.9991999864578247,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-vision","display_name":"Computer vision","score":0.7697544693946838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7109678387641907},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6296162605285645},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6187387704849243},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5814304947853088},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5397466421127319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5353043675422668},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.47359779477119446},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.473486989736557},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4655753970146179}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7697544693946838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7109678387641907},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6296162605285645},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6187387704849243},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5814304947853088},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5397466421127319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5353043675422668},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.47359779477119446},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.473486989736557},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4655753970146179},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2025.3581444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3581444","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2224966717","display_name":null,"funder_award_id":"52372390","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8056034916","display_name":null,"funder_award_id":"U24A20199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2115579991","https://openalex.org/W2237765446","https://openalex.org/W2252355370","https://openalex.org/W2603203130","https://openalex.org/W2756012011","https://openalex.org/W2797915683","https://openalex.org/W2889935068","https://openalex.org/W2895071559","https://openalex.org/W2895150009","https://openalex.org/W2947970660","https://openalex.org/W2950703532","https://openalex.org/W2963481014","https://openalex.org/W2964015640","https://openalex.org/W2970613990","https://openalex.org/W3034303554","https://openalex.org/W3035172746","https://openalex.org/W3035574168","https://openalex.org/W3044934783","https://openalex.org/W3095753995","https://openalex.org/W3103686699","https://openalex.org/W3127087269","https://openalex.org/W3135467810","https://openalex.org/W3177431918","https://openalex.org/W3186015635","https://openalex.org/W4214516362","https://openalex.org/W4286904999","https://openalex.org/W4312778480","https://openalex.org/W4313639316","https://openalex.org/W4353004344","https://openalex.org/W4367663474","https://openalex.org/W4388773780","https://openalex.org/W4388937483","https://openalex.org/W4392667072"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844","https://openalex.org/W2089042722"],"abstract_inverted_index":{"Accurately":[0],"and":[1,6,16,32,41,60,98,112,119,123,139,142,184,191],"continuously":[2],"tracking":[3,25,30,50,92,180],"object":[4,34,37,64,68,91,121,147,182],"vehicles":[5,38,153],"obtaining":[7],"their":[8],"motion":[9,61,78,113,140],"information":[10],"are":[11,39,79,106],"crucial":[12],"for":[13],"safe":[14],"decision-making":[15],"planning":[17],"in":[18],"autonomous":[19],"vehicles.":[20,65],"However,":[21],"the":[22,57,67,71,75,83,90,94,127,137,146,169,172,189],"existing":[23,170],"multi-object":[24,49,194],"algorithms":[26],"suffer":[27],"from":[28,115],"degraded":[29],"accuracy":[31,190],"frequent":[33],"jumps":[35],"when":[36],"lost":[40],"occluded.":[42],"To":[43],"solve":[44],"this":[45],"problem,":[46],"a":[47],"vehicle":[48,95],"method":[51],"(AMF-MOT)":[52],"is":[53,133,149],"proposed,":[54],"which":[55],"fuses":[56],"deep":[58,110],"appearance":[59,111,138],"features":[62,114],"of":[63,193],"In":[66,89],"selection":[69],"module,":[70,93],"key":[72],"objects":[73],"influencing":[74],"ego":[76],"vehicle's":[77],"selected":[80],"by":[81],"predicting":[82],"future":[84],"dynamic":[85,128],"security":[86],"potential":[87],"field.":[88],"re-recognition":[96],"network":[97],"noise":[99],"scale":[100],"adaptive":[101],"unscented":[102],"Kalman":[103],"filter":[104],"algorithm":[105,132],"designed":[107],"to":[108,135,151,154],"extract":[109],"sensor":[116],"data":[117],"before":[118],"after":[120],"loss":[122,183],"occlusion,":[124],"respectively.":[125],"Subsequently,":[126],"feature":[129],"weight":[130],"allocation":[131],"proposed":[134,173],"fuse":[136],"features,":[141],"based":[143],"on":[144,161],"this,":[145],"similarity":[148],"calculated":[150],"associate":[152],"achieve":[155,178],"continuous":[156,179],"tracking.":[157,195],"The":[158],"experiment":[159],"results":[160],"multiple":[162],"benchmark":[163],"datasets":[164],"demonstrate":[165],"that":[166],"compared":[167],"with":[168],"methods,":[171],"AMF-MOT":[174],"can":[175],"not":[176],"only":[177],"under":[181],"occlusion":[185],"but":[186],"also":[187],"improve":[188],"stability":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}