{"id":"https://openalex.org/W4403724263","doi":"https://doi.org/10.1109/dsaa61799.2024.10722829","title":"SMP-Track: SAM in Multi-Pedestrian Tracking","display_name":"SMP-Track: SAM in Multi-Pedestrian Tracking","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4403724263","doi":"https://doi.org/10.1109/dsaa61799.2024.10722829"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa61799.2024.10722829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa61799.2024.10722829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114514359","display_name":"Shiyin Wang","orcid":"https://orcid.org/0009-0004-7206-4975"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyin Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725629","display_name":"Huafeng Liu","orcid":"https://orcid.org/0000-0001-5396-3183"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huafeng Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417373","display_name":"Qiong Wang","orcid":"https://orcid.org/0000-0002-0835-3770"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101780760","display_name":"Yichao Zhou","orcid":"https://orcid.org/0009-0003-8632-446X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichao Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027545344","display_name":"Yazhou Yao","orcid":"https://orcid.org/0000-0002-0337-9410"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yazhou Yao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.5259,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70569283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9656999707221985,"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":0.9656999707221985,"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/pedestrian","display_name":"Pedestrian","score":0.7798992395401001},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.7653707265853882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7146161794662476},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5478581190109253},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3969145715236664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37782421708106995},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1730721890926361},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10256972908973694},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06890514492988586}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7798992395401001},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.7653707265853882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146161794662476},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5478581190109253},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3969145715236664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37782421708106995},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1730721890926361},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10256972908973694},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06890514492988586},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa61799.2024.10722829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa61799.2024.10722829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6700000166893005,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1272059064","display_name":null,"funder_award_id":"62302217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2855188217","display_name":null,"funder_award_id":"2022M721626","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8553687989","display_name":null,"funder_award_id":"BK20220936","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1620042822","https://openalex.org/W2124781496","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2511791013","https://openalex.org/W2603203130","https://openalex.org/W2889935068","https://openalex.org/W3012922853","https://openalex.org/W3027919498","https://openalex.org/W3035727180","https://openalex.org/W3084173793","https://openalex.org/W3086436251","https://openalex.org/W3094000868","https://openalex.org/W3095753995","https://openalex.org/W3096068180","https://openalex.org/W3099598823","https://openalex.org/W3099887740","https://openalex.org/W3104218139","https://openalex.org/W3104778224","https://openalex.org/W3113093028","https://openalex.org/W3145269263","https://openalex.org/W3164698655","https://openalex.org/W3165926952","https://openalex.org/W3167949052","https://openalex.org/W3176403636","https://openalex.org/W3184439416","https://openalex.org/W3185016686","https://openalex.org/W3207452968","https://openalex.org/W4205537101","https://openalex.org/W4214516362","https://openalex.org/W4283748233","https://openalex.org/W4285357233","https://openalex.org/W4286904999","https://openalex.org/W4306886916","https://openalex.org/W4312526532","https://openalex.org/W4317672152","https://openalex.org/W4319866011","https://openalex.org/W4367000115","https://openalex.org/W4376312146","https://openalex.org/W4377000504","https://openalex.org/W4384787981","https://openalex.org/W4386076204","https://openalex.org/W4386158980","https://openalex.org/W4387951976","https://openalex.org/W4390874575","https://openalex.org/W4391454573","https://openalex.org/W4402982597","https://openalex.org/W4403021086","https://openalex.org/W6636652518","https://openalex.org/W6808815924"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Multiple":[0],"Object":[1],"Tracking":[2],"(MOT)":[3],"plays":[4],"a":[5,13,24,87,101,135],"crucial":[6],"role":[7],"in":[8],"security":[9],"data":[10,28,199],"analysis":[11],"as":[12],"fundamental":[14],"problem":[15],"for":[16,27,40,69,78],"video":[17],"surveillance.":[18],"Our":[19],"goal":[20],"is":[21,42],"to":[22,168,197],"design":[23],"robust":[25,196],"tracker":[26,103],"damaged":[29],"by":[30,50,180],"attacks,":[31],"while":[32],"also":[33],"emphasizing":[34],"privacy":[35,205],"protection.":[36],"The":[37],"mainstream":[38],"paradigm":[39],"MOT":[41],"tracking-by-detection":[43],"(TBD),":[44],"which":[45],"involves":[46],"object":[47],"detection":[48],"followed":[49],"target":[51],"association.":[52],"In":[53],"the":[54,94,119,129,141,160,173,194,202],"association":[55],"stage,":[56],"most":[57],"models":[58],"rely":[59],"on":[60,123,128,159,172,187],"Intersection":[61],"over":[62],"Union":[63],"(IoU)":[64],"similarity":[65,74,137],"of":[66,75,83,89,143,204],"bounding":[67],"boxes":[68],"short-range":[70],"matching":[71],"and":[72,145,164,175,200],"cosine":[73],"appearance":[76],"features":[77],"long-range":[79],"matching.":[80],"However,":[81],"both":[82],"these":[84],"similarities":[85],"contain":[86],"lot":[88],"redundant":[90],"background":[91],"regions":[92],"except":[93],"target.":[95],"To":[96],"this":[97],"end,":[98],"we":[99,117,133,184],"propose":[100],"new":[102,136],"named":[104],"SMP-Track":[105,155],"that":[106,139,154],"integrates":[107],"Segment":[108],"Anything":[109],"Model":[110],"(SAM)":[111],"into":[112],"Multi-Pedestrian":[113],"tracking":[114],"method.":[115],"Firstly":[116],"extract":[118],"pedestrian":[120,182,189],"masks":[121],"based":[122],"box":[124],"prompt,":[125],"focusing":[126],"solely":[127],"foreground":[130,146],"information.":[131],"Then":[132],"introduce":[134],"metric":[138],"combines":[140],"advantages":[142],"motion":[144],"information":[147],"(i.e.,":[148],"box-mask":[149],"similarity).":[150],"Extensive":[151],"experiments":[152],"demonstrate":[153],"increases":[156],"main":[157],"metrics":[158],"MOT17":[161,174],"validation":[162],"set,":[163],"achieves":[165],"comparable":[166],"performance":[167],"other":[169],"state-of-the-art":[170],"methods":[171],"MOT20":[176],"test":[177],"sets.":[178],"Furthermore,":[179],"incorporating":[181],"masks,":[183],"reduce":[185],"reliance":[186],"raw":[188],"images":[190],"or":[191],"features,":[192],"making":[193],"model":[195],"corrupted":[198],"mitigating":[201],"risk":[203],"leakage.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
