{"id":"https://openalex.org/W4380628935","doi":"https://doi.org/10.1145/3585542.3585548","title":"Pedestrian Tracking Algorithm Based on Attention Mechanism and Data Association","display_name":"Pedestrian Tracking Algorithm Based on Attention Mechanism and Data Association","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4380628935","doi":"https://doi.org/10.1145/3585542.3585548"},"language":"en","primary_location":{"id":"doi:10.1145/3585542.3585548","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3585542.3585548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Digital Signal Processing","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/A5005170146","display_name":"Miao Fan","orcid":"https://orcid.org/0000-0002-1624-5753"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Miao Fan","raw_affiliation_strings":["Harbin Engineering University, Harbin Engineering University,Harbin,HeiLongjiang,China, China"],"raw_orcid":"https://orcid.org/0000-0002-1624-5753","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin Engineering University,Harbin,HeiLongjiang,China, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060643741","display_name":"Lilian Huang","orcid":"https://orcid.org/0000-0002-3589-285X"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lilian Huang","raw_affiliation_strings":["Harbin Engineering University, Harbin Engineering University,Harbin,HeiLongjiang,China, China"],"raw_orcid":"https://orcid.org/0000-0002-3589-285X","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin Engineering University,Harbin,HeiLongjiang,China, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005134122","display_name":"Zhaodong Zheng","orcid":"https://orcid.org/0000-0003-2716-6310"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaodong Zheng","raw_affiliation_strings":["Harbin Engineering University, Harbin Engineering University\u0f0cHarbin,HeiLongjiang,China, China"],"raw_orcid":"https://orcid.org/0000-0003-2716-6310","affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin Engineering University\u0f0cHarbin,HeiLongjiang,China, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005170146"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05382266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.979200005531311,"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":0.7490023970603943},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6370715498924255},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5707108378410339},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.518005907535553},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.49938154220581055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4592978060245514},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4064309895038605},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11041989922523499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1038820743560791}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490023970603943},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6370715498924255},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5707108378410339},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.518005907535553},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.49938154220581055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4592978060245514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4064309895038605},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11041989922523499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1038820743560791},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3585542.3585548","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3585542.3585548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2088684053","https://openalex.org/W2317535520","https://openalex.org/W2511791013","https://openalex.org/W2521769738","https://openalex.org/W2558687840","https://openalex.org/W2778867285","https://openalex.org/W3121034201","https://openalex.org/W3177525997","https://openalex.org/W6600129504","https://openalex.org/W6600195515","https://openalex.org/W6600553734","https://openalex.org/W6601055912","https://openalex.org/W6601946118","https://openalex.org/W6804761195"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W3122828758","https://openalex.org/W2170799233","https://openalex.org/W2768112316","https://openalex.org/W4205958986"],"abstract_inverted_index":{"In":[0],"this":[1,147],"paper,":[2],"a":[3],"pedestrian":[4,43,158],"tracking":[5,32,119],"algorithm":[6,145],"based":[7],"on":[8,100,106],"anchor":[9],"free":[10],"CBAM":[11],"(Convolutional":[12],"Block":[13],"Attention":[14],"Module)":[15],"convolutional":[16],"attention":[17,46],"mechanism":[18,47],"network":[19,57],"is":[20,48,94,98,121,135],"proposed":[21],"to":[22,58,83],"solve":[23],"the":[24,39,51,55,72,78,113,117,130,144,152,163,166],"problems":[25],"such":[26],"as":[27],"target":[28,33],"identity":[29,133,153],"switching":[30,134,154],"and":[31,68,70,103,126,129,160],"loss":[34],"that":[35,62],"often":[36],"occur":[37],"in":[38,50,66,81,146],"process":[40],"of":[41,54,74,132,165],"multi-target":[42],"tracking.":[44],"First,":[45],"added":[49],"stem":[52],"stage":[53],"backbone":[56],"extract":[59],"high-resolution":[60],"features":[61],"are":[63],"more":[64],"expressive":[65],"space":[67],"channels,":[69],"enhance":[71],"performance":[73],"re-recognizing":[75],"branches.":[76],"At":[77],"same":[79],"time,":[80],"order":[82],"better":[84],"match":[85],"multiple":[86],"targets":[87],"between":[88],"frames,":[89],"byte":[90],"data":[91],"association":[92],"strategy":[93],"referenced.":[95],"The":[96],"test":[97],"conducted":[99],"MOT15,":[101],"MOT17":[102],"MOT20":[104],"datasets":[105],"Mot":[107],"Challenge":[108],"official":[109],"website.":[110],"Compared":[111,139],"with":[112,140],"original":[114],"FairMOT":[115],"algorithm,":[116],"average":[118],"accuracy":[120,164],"increased":[122],"by":[123,157],"1.4%,":[124],"2.2%":[125],"0.8%":[127],"respectively,":[128],"number":[131],"also":[136],"significantly":[137],"reduced.":[138],"other":[141],"mainstream":[142],"algorithms,":[143],"paper":[148],"can":[149],"effectively":[150],"improve":[151,162],"problem":[155],"caused":[156],"occlusion":[159],"further":[161],"algorithm.":[167]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
