{"id":"https://openalex.org/W4405778769","doi":"https://doi.org/10.1109/tcsvt.2024.3523204","title":"PCTrack: Accurate Object Tracking for Live Video Analytics on Resource-Constrained Edge Devices","display_name":"PCTrack: Accurate Object Tracking for Live Video Analytics on Resource-Constrained Edge Devices","publication_year":2024,"publication_date":"2024-12-25","ids":{"openalex":"https://openalex.org/W4405778769","doi":"https://doi.org/10.1109/tcsvt.2024.3523204"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3523204","doi":"https://doi.org/10.1109/tcsvt.2024.3523204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3523204","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-b","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","raw_type":"journal-article"},"volume":null,"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/A5100381566","display_name":"Xinyi Zhang","orcid":"https://orcid.org/0000-0003-4101-1104","observed_orcids":["https://orcid.org/0000-0003-4101-1104","https://orcid.org/0009-0005-1691-4784"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Zhang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015944660","display_name":"Haoran Xu","orcid":"https://orcid.org/0000-0002-9330-2475","observed_orcids":["https://orcid.org/0000-0002-9330-2475"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Xu","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University (Shenzhen Campus), Shenzhen, China","School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9330-2475","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University (Shenzhen Campus), Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050042433","display_name":"Chenyun Yu","orcid":"https://orcid.org/0000-0001-9774-1590","observed_orcids":["https://orcid.org/0000-0001-9774-1590"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyun Yu","raw_affiliation_strings":["School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062708755","display_name":"Guang Tan","orcid":"https://orcid.org/0000-0002-0658-8867","observed_orcids":["https://orcid.org/0000-0002-0658-8867"]},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Tan","raw_affiliation_strings":["School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0658-8867","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":0.5626,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64215046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"35","issue":"5","first_page":"3969","last_page":"3982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.00039999998989515007,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/object-tracking","display_name":"object tracking","score":0.8830000162124634},{"id":"https://openalex.org/keywords/edge-devices","display_name":"edge devices","score":0.8579999804496765},{"id":"https://openalex.org/keywords/resource-constrained-computing","display_name":"resource-constrained computing","score":0.8429999947547913},{"id":"https://openalex.org/keywords/bounding-box-prediction","display_name":"bounding box prediction","score":0.5830000042915344},{"id":"https://openalex.org/keywords/traffic-monitoring","display_name":"traffic monitoring","score":0.5220000147819519},{"id":"https://openalex.org/keywords/real-time-video-processing","display_name":"real-time video processing","score":0.6069999933242798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817959785461426},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6546248197555542},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6487584710121155},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5817205905914307},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5287598967552185},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4909408390522003},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47076916694641113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4685571789741516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3735760450363159},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.1905684471130371},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11728844046592712},{"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/tcsvt.2024.3523204","doi":"https://doi.org/10.1109/tcsvt.2024.3523204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3523204","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-b","jufo-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5378999710083008}],"study_designs":[],"awards":[{"id":"https://openalex.org/G6848952021","display_name":null,"funder_award_id":"JCYJ20241202130025030","funder_id":"https://openalex.org/F4320336736","funder_display_name":"Chengdu Science and Technology Program"}],"funders":[{"id":"https://openalex.org/F4320336736","display_name":"Chengdu Science and Technology Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1584308190","https://openalex.org/W1605428578","https://openalex.org/W2029016069","https://openalex.org/W2105524282","https://openalex.org/W2424778531","https://openalex.org/W2607296803","https://openalex.org/W2610340394","https://openalex.org/W2740924709","https://openalex.org/W2794787653","https://openalex.org/W2801966202","https://openalex.org/W2945556069","https://openalex.org/W2950628590","https://openalex.org/W2965289829","https://openalex.org/W2983038091","https://openalex.org/W2990211277","https://openalex.org/W3025787433","https://openalex.org/W3043157863","https://openalex.org/W3046256272","https://openalex.org/W3046754651","https://openalex.org/W3114989277","https://openalex.org/W3127152723","https://openalex.org/W3128182885","https://openalex.org/W3130778992","https://openalex.org/W3130911179","https://openalex.org/W3147954149","https://openalex.org/W3168341664","https://openalex.org/W3174488528","https://openalex.org/W3175853703","https://openalex.org/W3179985441","https://openalex.org/W3198227059","https://openalex.org/W4210446097","https://openalex.org/W4226261750","https://openalex.org/W4237444302","https://openalex.org/W4283204165","https://openalex.org/W4285118488","https://openalex.org/W4285220706","https://openalex.org/W4285244183","https://openalex.org/W4287887274","https://openalex.org/W4292794796","https://openalex.org/W4293661496","https://openalex.org/W4312432439","https://openalex.org/W4312439945","https://openalex.org/W4312753915","https://openalex.org/W4313123992","https://openalex.org/W4313413160","https://openalex.org/W4319336445","https://openalex.org/W4319878086","https://openalex.org/W4376466880","https://openalex.org/W4377031017","https://openalex.org/W4383220186","https://openalex.org/W4387967984","https://openalex.org/W4388901570","https://openalex.org/W4392153030","https://openalex.org/W4392825591","https://openalex.org/W4393405303"],"related_works":["https://openalex.org/W7115815175","https://openalex.org/W4406110370","https://openalex.org/W4392948014","https://openalex.org/W4417296448","https://openalex.org/W4386555912","https://openalex.org/W3172720379","https://openalex.org/W4391937033","https://openalex.org/W4387967984","https://openalex.org/W7154950739","https://openalex.org/W4366250533"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,77,177],"live":[3],"video":[4,29],"analytics":[5],"relies":[6],"on":[7,31,137],"real-time":[8],"object":[9,112,133],"tracking":[10,53,72],"that":[11,108,130,147,158],"typically":[12],"involves":[13],"computationally":[14],"expensive":[15],"deep":[16],"neural":[17],"network":[18],"(DNN)":[19],"models.":[20],"In":[21],"practice,":[22],"it":[23],"has":[24],"become":[25],"essential":[26],"to":[27,65,92,115,168,175],"process":[28],"data":[30],"edge":[32,40],"devices":[33,41],"deployed":[34],"near":[35],"the":[36,66,117,132,178],"cameras.":[37],"However,":[38],"these":[39,95],"often":[42],"have":[43],"very":[44],"limited":[45],"computing":[46],"resources":[47],"and":[48,75,141],"thus":[49],"suffer":[50],"from":[51,166],"poor":[52],"accuracy.":[54],"Through":[55],"a":[56,82,104,121,126,143],"measurement":[57],"study,":[58],"we":[59],"identify":[60],"three":[61,100],"major":[62],"factors":[63],"contributing":[64],"performance":[67],"issue:":[68],"outdated":[69,111],"detection":[70],"results,":[71],"error":[73],"accumulation,":[74],"ignorance":[76],"new":[78],"objects.":[79],"We":[80],"introduce":[81],"novel":[83],"approach,":[84],"called":[85],"Predict":[86],"&":[87],"Correct":[88],"based":[89,136],"Tracking,":[90],"orPCTrack,":[91],"systematically":[93],"address":[94],"problems.":[96],"Our":[97],"design":[98],"incorporates":[99],"innovative":[101],"components:":[102],"1)":[103],"Predictive":[105],"Detection":[106],"Propagator":[107],"rapidly":[109],"updates":[110],"bounding":[113,134],"boxes":[114,135],"match":[116],"current":[118],"frame":[119,138],"through":[120],"lightweight":[122],"prediction":[123],"model;":[124],"2)":[125],"Frame":[127],"Difference":[128],"Corrector":[129],"refines":[131],"difference":[139],"information;":[140],"3)":[142],"New":[144],"Object":[145],"Detector":[146],"efficiently":[148],"discovers":[149],"newly":[150],"appearing":[151],"objects":[152],"during":[153],"tracking.":[154],"Experimental":[155],"results":[156],"show":[157],"our":[159],"approach":[160],"achieves":[161],"remarkable":[162],"accuracy":[163],"improvements,":[164],"ranging":[165],"19.4%":[167],"34.7%,":[169],"across":[170],"diverse":[171],"traffic":[172],"scenarios,":[173],"compared":[174],"state":[176],"art":[179],"methods.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-12-25T00:00:00"}