{"id":"https://openalex.org/W4406110370","doi":"https://doi.org/10.1109/tmc.2025.3526573","title":"FastTuner: Fast Resolution and Model Tuning for Multi-Object Tracking in Edge Video Analytics","display_name":"FastTuner: Fast Resolution and Model Tuning for Multi-Object Tracking in Edge Video Analytics","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4406110370","doi":"https://doi.org/10.1109/tmc.2025.3526573"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3526573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3526573","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-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":null,"display_name":"Renjie Xu","orcid":"https://orcid.org/0000-0001-9320-2194"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Renjie Xu","raw_affiliation_strings":["Department of Computing and Software, McMaster University, Hamilton, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9320-2194","affiliations":[{"raw_affiliation_string":"Department of Computing and Software, McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049264523","display_name":"Keivan Nalaie","orcid":"https://orcid.org/0009-0008-9579-374X"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Keivan Nalaie","raw_affiliation_strings":["Department of Computing and Software, McMaster University, Hamilton, ON, Canada"],"raw_orcid":"https://orcid.org/0009-0008-9579-374X","affiliations":[{"raw_affiliation_string":"Department of Computing and Software, McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056442083","display_name":"Rong Zheng","orcid":"https://orcid.org/0000-0003-4070-075X"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rong Zheng","raw_affiliation_strings":["Department of Computing and Software, McMaster University, Hamilton, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0003-4070-075X","affiliations":[{"raw_affiliation_string":"Department of Computing and Software, McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.4648,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55697678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"24","issue":"6","first_page":"4747","last_page":"4761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9684000015258789,"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":0.9684000015258789,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9460999965667725,"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":0.8185535669326782},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6789743900299072},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6394498348236084},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5450875759124756},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5396511554718018},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45441848039627075},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3944738507270813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35622572898864746},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21056756377220154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185535669326782},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6789743900299072},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6394498348236084},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5450875759124756},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5396511554718018},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45441848039627075},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3944738507270813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35622572898864746},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21056756377220154},{"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/tmc.2025.3526573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3526573","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7976701388","display_name":null,"funder_award_id":"202108320092","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W2161918373","https://openalex.org/W2194775991","https://openalex.org/W2252355370","https://openalex.org/W2534578893","https://openalex.org/W2603203130","https://openalex.org/W2678047256","https://openalex.org/W2767011558","https://openalex.org/W2872933037","https://openalex.org/W2887117815","https://openalex.org/W2896225285","https://openalex.org/W2905207581","https://openalex.org/W2920031528","https://openalex.org/W2953920664","https://openalex.org/W2963323244","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963677766","https://openalex.org/W2964223234","https://openalex.org/W2965289829","https://openalex.org/W2987053069","https://openalex.org/W2989368243","https://openalex.org/W2989604896","https://openalex.org/W3012573144","https://openalex.org/W3046256272","https://openalex.org/W3046754651","https://openalex.org/W3047565185","https://openalex.org/W3084173793","https://openalex.org/W3095753995","https://openalex.org/W3096084597","https://openalex.org/W3106763294","https://openalex.org/W3107788976","https://openalex.org/W3109296687","https://openalex.org/W3129447134","https://openalex.org/W3130378779","https://openalex.org/W3130823781","https://openalex.org/W3160220816","https://openalex.org/W3184369174","https://openalex.org/W3193767470","https://openalex.org/W3198227059","https://openalex.org/W3203251378","https://openalex.org/W3212621679","https://openalex.org/W3212832037","https://openalex.org/W3214009070","https://openalex.org/W4220738176","https://openalex.org/W4225729912","https://openalex.org/W4236099117","https://openalex.org/W4281707531","https://openalex.org/W4283212161","https://openalex.org/W4283218352","https://openalex.org/W4285197124","https://openalex.org/W4285261368","https://openalex.org/W4287887274","https://openalex.org/W4293195477","https://openalex.org/W4293518233","https://openalex.org/W4312409499","https://openalex.org/W4313525690","https://openalex.org/W4317926951","https://openalex.org/W4319299834","https://openalex.org/W4377000482","https://openalex.org/W4399121259","https://openalex.org/W4401508193","https://openalex.org/W6637373629","https://openalex.org/W6696672603","https://openalex.org/W6735636592","https://openalex.org/W6762481227","https://openalex.org/W6764330927","https://openalex.org/W6790135808","https://openalex.org/W6803376173","https://openalex.org/W6852183755"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W4285271403","https://openalex.org/W2542007731","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":{"Multi-object":[0],"tracking":[1,77,90,122],"(MOT)":[2],"is":[3,84],"the":[4,64,89,103,130],"\u201ckiller":[5],"app\u201d":[6],"of":[7,106,144],"edge":[8,109,150],"video":[9,16,110],"analytics.":[10],"Deploying":[11],"MOT":[12,41],"pipelines":[13,42],"for":[14,102],"live":[15],"analytics":[17,111],"poses":[18],"a":[19,34,55,79,140],"significant":[20],"system":[21],"challenge":[22],"due":[23],"to":[24,39,62,71,86,129],"their":[25],"computation-intensive":[26],"nature.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31],"propose":[32],"FastTuner,":[33],"model-agnostic":[35],"framework":[36],"that":[37,53,116],"aims":[38],"accelerate":[40,134],"by":[43,137],"adapting":[44],"frame":[45],"resolutions":[46],"and":[47,57,75,124,133,148],"backbone":[48],"models.":[49],"Unlike":[50],"prior":[51],"works":[52],"utilize":[54],"separate":[56],"time-consuming":[58],"online":[59],"profiling":[60],"procedure":[61],"identify":[63],"optimal":[65],"configuration,":[66],"FastTuner":[67,107,117],"incorporates":[68],"multi-task":[69],"learning":[70],"perform":[72],"configuration":[73],"selection":[74],"object":[76],"through":[78],"shared":[80],"model.":[81],"Multi-resolution":[82],"training":[83],"employed":[85],"further":[87],"improve":[88],"accuracy":[91,123],"across":[92],"different":[93],"resolutions.":[94],"Furthermore,":[95],"two":[96],"workload":[97],"placement":[98],"schemes":[99],"are":[100],"designed":[101],"practical":[104],"deployment":[105],"in":[108,139],"systems.":[112],"Extensive":[113],"experiments":[114],"demonstrate":[115],"can":[118],"achieve":[119],"1.1%\u20139.2%":[120],"higher":[121,126],"2.5%\u201325.5%":[125],"speed":[127],"compared":[128],"state-of-the-art":[131],"methods,":[132],"end-to-end":[135],"processing":[136],"1.7%\u201322.5%":[138],"real-world":[141],"testbed":[142],"consisting":[143],"an":[145,149],"embedded":[146],"device":[147],"server.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
