{"id":"https://openalex.org/W4308233760","doi":"https://doi.org/10.1109/icip46576.2022.9898030","title":"Detection-Identification Balancing Margin Loss for One-Stage Multi-Object Tracking","display_name":"Detection-Identification Balancing Margin Loss for One-Stage Multi-Object Tracking","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308233760","doi":"https://doi.org/10.1109/icip46576.2022.9898030"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9898030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898030","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5083871820","display_name":"Heansung Lee","orcid":"https://orcid.org/0000-0003-4012-3219"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Heansung Lee","raw_affiliation_strings":["Yonsei University,Seoul,Republic of Korea","Yonsei University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055345711","display_name":"Suhwan Cho","orcid":"https://orcid.org/0000-0002-1547-807X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suhwan Cho","raw_affiliation_strings":["Yonsei University,Seoul,Republic of Korea","Yonsei University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055628924","display_name":"Sungjun Jang","orcid":"https://orcid.org/0000-0002-8739-1571"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungjun Jang","raw_affiliation_strings":["Yonsei University,Seoul,Republic of Korea","Yonsei University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745071","display_name":"Jungho Lee","orcid":"https://orcid.org/0000-0003-4162-3389"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungho Lee","raw_affiliation_strings":["Yonsei University,Seoul,Republic of Korea","Yonsei University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040180422","display_name":"Sungmin Woo","orcid":"https://orcid.org/0000-0002-1378-6722"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungmin Woo","raw_affiliation_strings":["Yonsei University,Seoul,Republic of Korea","Yonsei University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015739530","display_name":"Sangyoun Lee","orcid":"https://orcid.org/0000-0003-0394-6777"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangyoun Lee","raw_affiliation_strings":["Yonsei University,Seoul,Republic of Korea","Yonsei University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083871820"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10352203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3081","last_page":"3085"},"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":0.9948999881744385,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9932000041007996,"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/margin","display_name":"Margin (machine learning)","score":0.7817751169204712},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7492060661315918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6652088165283203},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6281853318214417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5538288354873657},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47847339510917664},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.416179895401001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37637215852737427},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3312120735645294}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7817751169204712},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7492060661315918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6652088165283203},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6281853318214417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5538288354873657},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47847339510917664},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.416179895401001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37637215852737427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3312120735645294},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9898030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898030","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1531192956","https://openalex.org/W2107775979","https://openalex.org/W2124781496","https://openalex.org/W2145938889","https://openalex.org/W2150298366","https://openalex.org/W2291627510","https://openalex.org/W2511791013","https://openalex.org/W2534578893","https://openalex.org/W2565639579","https://openalex.org/W2590174509","https://openalex.org/W2594507094","https://openalex.org/W2603203130","https://openalex.org/W2798542761","https://openalex.org/W2963323244","https://openalex.org/W2963574614","https://openalex.org/W2963677766","https://openalex.org/W2963901085","https://openalex.org/W3012922853","https://openalex.org/W3084173793","https://openalex.org/W3086436251","https://openalex.org/W3094000868","https://openalex.org/W3096068180","https://openalex.org/W3104778224","https://openalex.org/W3106763294","https://openalex.org/W3164698655","https://openalex.org/W3176403636","https://openalex.org/W6631190155","https://openalex.org/W6681158678","https://openalex.org/W6696672603","https://openalex.org/W6750697433","https://openalex.org/W6775253321"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518","https://openalex.org/W3091955004"],"abstract_inverted_index":{"In":[0,45],"recent":[1],"years,":[2],"one-stage":[3],"multi-object":[4],"tracking":[5],"(MOT)":[6],"methods,":[7],"which":[8],"jointly":[9],"learn":[10],"detection":[11,38,133,160],"and":[12,39,77,141,161,172],"identification":[13,40,102,122],"in":[14],"a":[15,50,148,155],"single":[16],"network,":[17],"have":[18,41],"attracted":[19],"extensive":[20],"attention,":[21],"due":[22,100,131],"to":[23,101,104,107,132],"their":[24],"efficiency.":[25],"However,":[26],"the":[27,33,58,90,93,97,114],"negative":[28,157],"transfer":[29,150],"effects":[30,60],"caused":[31,61],"by":[32,62,123,146],"two":[34,64],"conflicting":[35],"objectives":[36],"of":[37,72,92,175],"rarely":[42],"been":[43],"explored.":[44],"this":[46],"paper,":[47],"we":[48],"propose":[49],"Detection-Identification":[51],"Balancing":[52],"Margin":[53,74,79],"(DIM)":[54],"loss":[55,70,76,83,112,138],"for":[56,121,144,151],"minimizing":[57],"adverse":[59],"these":[63],"different":[65],"objectives.":[66],"The":[67,135],"proposed":[68,136],"DIM":[69,137],"consists":[71],"Detection":[73],"(DM)":[75],"Identification":[78],"(IM)":[80],"loss.":[81],"DM":[82],"forces":[84],"features":[85,95,126,152],"that":[86,118,127,153],"are":[87,119],"farther":[88],"from":[89],"center":[91],"foreground":[94],"than":[96],"defined":[98],"margin":[99],"learning":[103],"be":[105],"converged":[106],"ensure":[108],"accurate":[109],"detection.":[110],"IM":[111],"enables":[113],"various":[115],"feature":[116],"representations":[117],"essential":[120],"intentionally":[124],"spreading":[125],"become":[128],"overly":[129],"clustered":[130],"learning.":[134],"demonstrates":[139],"competitive":[140],"balanced":[142],"performance":[143],"MOT":[145],"providing":[147],"positive":[149],"had":[154],"strong":[156],"impact":[158],"on":[159,170],"identification,":[162],"respectively.":[163],"(HOTA":[164],"61.5,":[165],"MOTA":[166],"75.3,":[167],"IDF1":[168],"75.6":[169],"MOT16,":[171],"real-time":[173],"rates":[174],"25.9":[176],"fps":[177],"were":[178],"achieved)":[179]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}