{"id":"https://openalex.org/W4416250357","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228170","title":"OA-SORT: Improving Multi-Object Tracking Performance with Occlusion Aware ViT and Adaptive Appearance Update","display_name":"OA-SORT: Improving Multi-Object Tracking Performance with Occlusion Aware ViT and Adaptive Appearance Update","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250357","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228170"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5103116479","display_name":"Qian Li","orcid":"https://orcid.org/0000-0002-4809-9869"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Li","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101866794","display_name":"Jin-Long Yang","orcid":"https://orcid.org/0000-0002-5543-8371"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Yang","raw_affiliation_strings":["Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China"],"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Artificial Intelligence and Computer Science,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103116479"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37302696,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9577000141143799,"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":0.9577000141143799,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.007600000128149986,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11448","display_name":"Face recognition and analysis","score":0.0038999998942017555,"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/active-appearance-model","display_name":"Active appearance model","score":0.6733999848365784},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.633400022983551},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48890000581741333},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46779999136924744},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.4374000132083893},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.3621000051498413},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.32580000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123000025749207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6800000071525574},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.6733999848365784},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.633400022983551},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5126000046730042},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48890000581741333},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46779999136924744},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.2809999883174896},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.2797999978065491},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.2653999924659729}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":24,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2252355370","https://openalex.org/W2476548250","https://openalex.org/W2603203130","https://openalex.org/W2984145721","https://openalex.org/W3084173793","https://openalex.org/W3095753995","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3149936330","https://openalex.org/W3164698655","https://openalex.org/W4286904999","https://openalex.org/W4312443924","https://openalex.org/W4319866011","https://openalex.org/W4386071948","https://openalex.org/W4386076204","https://openalex.org/W4386083136","https://openalex.org/W4386590375","https://openalex.org/W4390272260","https://openalex.org/W4391892422","https://openalex.org/W4392940320","https://openalex.org/W4402753969","https://openalex.org/W4402754176","https://openalex.org/W4402754177"],"related_works":[],"abstract_inverted_index":{"In":[0],"visual":[1],"tracking":[2],"tasks,":[3],"identifying":[4],"repeatedly":[5],"appearing":[6],"targets":[7,29,40],"is":[8],"a":[9,65,122],"significant":[10],"challenge.":[11],"Existing":[12],"algorithms":[13],"often":[14],"use":[15,121],"network":[16,66],"structures":[17],"such":[18],"as":[19],"CNNs":[20],"and":[21,30,76],"ViTs":[22],"to":[23,58,96,126,137,156],"extract":[24,59,72],"the":[25,81,85,99,108,115,128,144],"appearance":[26,49,92,100,118,131,147],"features":[27,50,73,79,101,132,148],"of":[28,117,130,146],"save":[31],"them":[32],"for":[33],"recognition":[34],"upon":[35],"future":[36],"detection.":[37],"However,":[38],"when":[39,107],"are":[41,51,80],"occluded":[42],"or":[43],"overlap":[44],"with":[45],"each":[46],"other,":[47],"their":[48],"heavily":[52],"interfered":[53],"with,":[54],"making":[55],"it":[56],"difficult":[57],"effective":[60],"features.":[61],"Therefore,":[62],"we":[63,88,120,140],"propose":[64],"structure":[67],"OA-ViT":[68],"that":[69,98],"can":[70,102],"effectively":[71],"after":[74],"occlusion":[75],"determine":[77],"which":[78],"most":[82],"important.":[83],"At":[84],"same":[86],"time,":[87],"employ":[89],"an":[90],"adaptive":[91],"feature":[93],"update":[94],"strategy":[95],"ensure":[97],"be":[103],"smoothly":[104],"updated":[105],"even":[106],"environment":[109],"undergoes":[110],"drastic":[111],"changes.":[112],"To":[113],"enhance":[114],"utilization":[116],"features,":[119],"mutation":[123],"value":[124],"matrix":[125],"increase":[127],"weight":[129],"in":[133],"overall":[134],"decision-making.":[135],"Compared":[136],"previous":[138],"algorithms,":[139],"have":[141],"significantly":[142],"increased":[143],"credibility":[145],"while":[149],"ensuring":[150],"computational":[151],"efficiency,":[152],"achieving":[153],"results":[154],"comparable":[155],"state-of-the-art":[157],"(SOTA)":[158],"methods.":[159]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}