{"id":"https://openalex.org/W4402402697","doi":"https://doi.org/10.1109/mapr63514.2024.10660850","title":"TF-SASM: Training-free Spatial-aware Sparse Memory for Multi-object Tracking","display_name":"TF-SASM: Training-free Spatial-aware Sparse Memory for Multi-object Tracking","publication_year":2024,"publication_date":"2024-08-15","ids":{"openalex":"https://openalex.org/W4402402697","doi":"https://doi.org/10.1109/mapr63514.2024.10660850"},"language":"en","primary_location":{"id":"doi:10.1109/mapr63514.2024.10660850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr63514.2024.10660850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","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/A5049985610","display_name":"Thuc Nguyen-Quang","orcid":"https://orcid.org/0000-0003-2523-8851"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Thuc Nguyen-Quang","raw_affiliation_strings":["University of Science, VNU-HCM Viet Nam National University,Software Engineering Lab &amp; John von Neumann Institute,Ho Chi Minh City"],"affiliations":[{"raw_affiliation_string":"University of Science, VNU-HCM Viet Nam National University,Software Engineering Lab &amp; John von Neumann Institute,Ho Chi Minh City","institution_ids":["https://openalex.org/I123565023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053495766","display_name":"Minh\u2013Triet Tran","orcid":"https://orcid.org/0000-0003-3046-3041"},"institutions":[{"id":"https://openalex.org/I123565023","display_name":"Vietnam National University Ho Chi Minh City","ror":"https://ror.org/00waaqh38","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Minh-Triet Tran","raw_affiliation_strings":["University of Science, VNU-HCM Viet Nam National University,Faculty of Information Technology Software Engineering Lab &amp; John von Neumann Institute,Ho Chi Minh City"],"affiliations":[{"raw_affiliation_string":"University of Science, VNU-HCM Viet Nam National University,Faculty of Information Technology Software Engineering Lab &amp; John von Neumann Institute,Ho Chi Minh City","institution_ids":["https://openalex.org/I123565023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049985610"],"corresponding_institution_ids":["https://openalex.org/I123565023"],"apc_list":null,"apc_paid":null,"fwci":0.2624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53273554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.98089998960495,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/computer-science","display_name":"Computer science","score":0.6528576612472534},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5899214744567871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5110496282577515},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.502509355545044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4896584153175354},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.450514018535614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37572526931762695},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1306132972240448},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12101948261260986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6528576612472534},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5899214744567871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5110496282577515},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.502509355545044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4896584153175354},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.450514018535614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37572526931762695},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1306132972240448},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12101948261260986},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"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/mapr63514.2024.10660850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr63514.2024.10660850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2124781496","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2511791013","https://openalex.org/W2603203130","https://openalex.org/W2798542761","https://openalex.org/W2920942303","https://openalex.org/W2981393651","https://openalex.org/W2990187711","https://openalex.org/W3086436251","https://openalex.org/W3095753995","https://openalex.org/W3096609285","https://openalex.org/W3104218139","https://openalex.org/W3104778224","https://openalex.org/W3115390238","https://openalex.org/W3116469262","https://openalex.org/W3119686997","https://openalex.org/W3165926952","https://openalex.org/W3184439416","https://openalex.org/W4286904999","https://openalex.org/W4312473433","https://openalex.org/W4313072323","https://openalex.org/W4313117614","https://openalex.org/W4378509414","https://openalex.org/W4385245566","https://openalex.org/W4386076204","https://openalex.org/W4386083103","https://openalex.org/W4386590375","https://openalex.org/W4390872615","https://openalex.org/W4390874237","https://openalex.org/W6811230874"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952","https://openalex.org/W4366179611","https://openalex.org/W2158788032"],"abstract_inverted_index":{"Multi-object":[0],"tracking":[1,15],"(MOT)":[2],"in":[3,19,110,132,146],"computer":[4],"vision":[5],"remains":[6],"a":[7,70,94,118,138],"significant":[8],"challenge,":[9],"requiring":[10],"precise":[11],"localization":[12],"and":[13,54,83,144],"continuous":[14],"of":[16,24,107,117,140],"multiple":[17],"objects":[18],"video":[20],"sequences.":[21],"The":[22],"emergence":[23],"data":[25],"sets":[26],"that":[27,74],"emphasize":[28],"robust":[29],"reidentification,":[30],"such":[31],"as":[32],"DanceTrack,":[33],"has":[34],"highlighted":[35],"the":[36,111,123,133],"need":[37],"for":[38],"effective":[39],"solutions.":[40],"While":[41],"memory-based":[42,72],"approaches":[43],"have":[44],"shown":[45],"promise,":[46],"they":[47],"often":[48],"suffer":[49],"from":[50],"high":[51],"computational":[52],"complexity":[53],"memory":[55],"usage":[56],"due":[57],"to":[58,87,121],"storing":[59],"feature":[60],"at":[61],"every":[62],"single":[63],"frame.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"propose":[69],"novel":[71],"approach":[73,127],"selectively":[75],"stores":[76],"critical":[77],"features":[78,109],"based":[79],"on":[80],"object":[81,120],"motion":[82],"overlapping":[84],"awareness,":[85],"aiming":[86],"enhance":[88,122],"efficiency":[89],"while":[90],"minimizing":[91],"redundancy.":[92],"As":[93],"result,":[95],"our":[96],"method":[97],"not":[98],"only":[99],"store":[100],"longer":[101],"temporal":[102],"information":[103],"with":[104],"limited":[105],"number":[106],"stored":[108],"memory,":[112],"but":[113],"also":[114],"diversify":[115],"states":[116],"particular":[119],"association":[124],"performance.":[125],"Our":[126],"significantly":[128],"improves":[129],"over":[130],"MOTRv2":[131],"DanceTrack":[134],"test":[135],"set,":[136],"demonstrating":[137],"gain":[139],"2.0%":[141],"AssA":[142],"score":[143],"2.1%":[145],"IDF1":[147],"score.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
