{"id":"https://openalex.org/W4408354060","doi":"https://doi.org/10.1109/icassp49660.2025.10890199","title":"MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking","display_name":"MambaMOT: State-Space Model as Motion Predictor for Multi-Object Tracking","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354060","doi":"https://doi.org/10.1109/icassp49660.2025.10890199"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890199","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/A5101699930","display_name":"Hsiang-Wei Huang","orcid":"https://orcid.org/0000-0003-0373-9487"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hsiang-Wei Huang","raw_affiliation_strings":["University of Washington,Department of Electrical and Computer Engineering,Seattle,United States"],"affiliations":[{"raw_affiliation_string":"University of Washington,Department of Electrical and Computer Engineering,Seattle,United States","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047672937","display_name":"Cheng-Yen Yang","orcid":"https://orcid.org/0009-0004-2631-6756"},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng-Yen Yang","raw_affiliation_strings":["University of Washington,Department of Electrical and Computer Engineering,Seattle,United States"],"affiliations":[{"raw_affiliation_string":"University of Washington,Department of Electrical and Computer Engineering,Seattle,United States","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103021774","display_name":"Wenhao Chai","orcid":"https://orcid.org/0000-0003-2611-0008"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenhao Chai","raw_affiliation_strings":["University of Washington,Department of Electrical and Computer Engineering,Seattle,United States"],"affiliations":[{"raw_affiliation_string":"University of Washington,Department of Electrical and Computer Engineering,Seattle,United States","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101618974","display_name":"Zhongyu Jiang","orcid":"https://orcid.org/0000-0003-4462-6497"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongyu Jiang","raw_affiliation_strings":["University of Washington,Department of Electrical and Computer Engineering,Seattle,United States"],"affiliations":[{"raw_affiliation_string":"University of Washington,Department of Electrical and Computer Engineering,Seattle,United States","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101702810","display_name":"Jenq\u2013Neng Hwang","orcid":"https://orcid.org/0000-0002-8877-2421"},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeng-Neng Hwang","raw_affiliation_strings":["University of Washington,Department of Electrical and Computer Engineering,Seattle,United States"],"affiliations":[{"raw_affiliation_string":"University of Washington,Department of Electrical and Computer Engineering,Seattle,United States","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101699930"],"corresponding_institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"],"apc_list":null,"apc_paid":null,"fwci":8.5243,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96838051,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.8806999921798706,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.8806999921798706,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8461999893188477,"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/T10320","display_name":"Neural Networks and Applications","score":0.774399995803833,"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/computer-science","display_name":"Computer science","score":0.6491230130195618},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.601473331451416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5971401929855347},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5537626147270203},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5124006867408752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4840814173221588},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4836079180240631},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4299435317516327},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4259960353374481},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11322024464607239}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6491230130195618},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.601473331451416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5971401929855347},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5537626147270203},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5124006867408752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4840814173221588},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4836079180240631},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4299435317516327},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4259960353374481},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11322024464607239},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890199","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":[{"score":0.5199999809265137,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2105934661","https://openalex.org/W2124781496","https://openalex.org/W2252355370","https://openalex.org/W2603203130","https://openalex.org/W2962766617","https://openalex.org/W3084173793","https://openalex.org/W3086436251","https://openalex.org/W3095753995","https://openalex.org/W3167949052","https://openalex.org/W4286904999","https://openalex.org/W4312473433","https://openalex.org/W4312689495","https://openalex.org/W4313072323","https://openalex.org/W4319336636","https://openalex.org/W4319866011","https://openalex.org/W4385575022","https://openalex.org/W4386075559","https://openalex.org/W4386076204","https://openalex.org/W4390872862","https://openalex.org/W4390873600","https://openalex.org/W4390874237","https://openalex.org/W4394842583","https://openalex.org/W4394862566","https://openalex.org/W4400645814","https://openalex.org/W4400721625","https://openalex.org/W4402702917","https://openalex.org/W4402915763","https://openalex.org/W4403791540","https://openalex.org/W4404001764","https://openalex.org/W4408973787","https://openalex.org/W4412444687","https://openalex.org/W6696672603","https://openalex.org/W6775253321","https://openalex.org/W6782420349","https://openalex.org/W6785783668","https://openalex.org/W6788023325","https://openalex.org/W6798838024","https://openalex.org/W6803444062","https://openalex.org/W6839744764","https://openalex.org/W6859298233","https://openalex.org/W6873635419","https://openalex.org/W6874642958"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W4205448459","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"],"abstract_inverted_index":{"In":[0,79],"the":[1,12,26,53,57,73],"field":[2],"of":[3,29,55,75],"multi-object":[4],"tracking":[5,68],"(MOT),":[6],"traditional":[7,117],"methods":[8,31],"often":[9],"rely":[10],"on":[11,93],"Kalman":[13,58,76],"filter":[14,59],"for":[15],"motion":[16,23,63,109],"prediction,":[17],"leveraging":[18],"its":[19],"strengths":[20],"in":[21,43],"linear":[22],"scenarios.":[24],"However,":[25],"inherent":[27],"limitations":[28],"these":[30],"become":[32],"evident":[33],"when":[34],"confronted":[35],"with":[36,60],"complex,":[37],"nonlinear":[38,108],"motions":[39],"and":[40,48,70,86,100,111],"occlusions":[41,113],"prevalent":[42],"dynamic":[44],"environments":[45],"like":[46],"sports":[47],"dance.":[49],"This":[50],"paper":[51],"explores":[52],"possibilities":[54],"replacing":[56],"a":[61],"learning-based":[62],"model":[64],"that":[65],"effectively":[66,115],"enhances":[67],"accuracy":[69],"adaptability":[71],"beyond":[72],"constraints":[74],"filter-based":[77],"tracker.":[78],"this":[80],"paper,":[81],"our":[82],"proposed":[83],"method":[84],"MambaMOT":[85],"MambaMOT<sup":[87],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[88],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">+</sup>,":[89],"demonstrate":[90],"advanced":[91],"performance":[92],"challenging":[94],"MOT":[95],"datasets":[96],"such":[97],"as":[98],"DanceTrack":[99],"SportsMOT,":[101],"showcasing":[102],"their":[103],"ability":[104],"to":[105],"handle":[106],"intricate,":[107],"patterns":[110],"frequent":[112],"more":[114],"than":[116],"methods.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}