{"id":"https://openalex.org/W3134889756","doi":null,"title":"Novel Traffic Sensing Using Multi-Camera Car Tracking and Re-Identification (MCCTRI)","display_name":"Novel Traffic Sensing Using Multi-Camera Car Tracking and Re-Identification (MCCTRI)","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3134889756","mag":"3134889756"},"language":"en","primary_location":{"id":"pmh:oai:digital.lib.washington.edu:1773/45465","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1773/45465","pdf_url":"http://hdl.handle.net/1773/45465","source":{"id":"https://openalex.org/S4306401128","display_name":"ResearchWorks at the University of Washington (University of Washington)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I201448701","host_organization_name":"University of Washington","host_organization_lineage":["https://openalex.org/I201448701"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1773/45465","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052840391","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0002-0983-9094","observed_orcids":["https://orcid.org/0000-0002-0983-9094"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hao Yang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0983-9094","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5052840391"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9785000085830688,"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":0.9785000085830688,"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":0.010599999688565731,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.0071000000461936,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/person-re-identification","display_name":"person re-identification","score":0.8050000071525574},{"id":"https://openalex.org/keywords/traffic-sensing","display_name":"traffic sensing","score":0.9330000281333923},{"id":"https://openalex.org/keywords/surveillance-cameras","display_name":"surveillance cameras","score":0.6759999990463257},{"id":"https://openalex.org/keywords/road-network-graph","display_name":"road network graph","score":0.621999979019165},{"id":"https://openalex.org/keywords/spatio-temporal-features","display_name":"spatio-temporal features","score":0.718999981880188},{"id":"https://openalex.org/keywords/travel-time-estimation","display_name":"travel time estimation","score":0.7519999742507935},{"id":"https://openalex.org/keywords/traffic-volume-estimation","display_name":"traffic volume estimation","score":0.8640000224113464},{"id":"https://openalex.org/keywords/multi-view-video","display_name":"multi-view video","score":0.36500000953674316},{"id":"https://openalex.org/keywords/intelligent-transportation-systems","display_name":"intelligent transportation systems","score":0.6990000009536743}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5496366024017334},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5263161659240723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5151442289352417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5035263895988464},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46873006224632263},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13939890265464783},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:digital.lib.washington.edu:1773/45465","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1773/45465","pdf_url":"http://hdl.handle.net/1773/45465","source":{"id":"https://openalex.org/S4306401128","display_name":"ResearchWorks at the University of Washington (University of Washington)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I201448701","host_organization_name":"University of Washington","host_organization_lineage":["https://openalex.org/I201448701"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:3134889756","doi":null,"is_oa":false,"landing_page_url":"https://digital.lib.washington.edu:443/researchworks/handle/1773/45465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:digital.lib.washington.edu:1773/45465","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1773/45465","pdf_url":"http://hdl.handle.net/1773/45465","source":{"id":"https://openalex.org/S4306401128","display_name":"ResearchWorks at the University of Washington (University of Washington)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I201448701","host_organization_name":"University of Washington","host_organization_lineage":["https://openalex.org/I201448701"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7250000238418579,"id":"https://metadata.un.org/sdg/11"},{"display_name":"Industry, innovation and infrastructure","score":0.651199996471405,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3134889756.pdf","grobid_xml":"https://content.openalex.org/works/W3134889756.grobid-xml"},"referenced_works_count":89,"referenced_works":["https://openalex.org/W137315230","https://openalex.org/W163708237","https://openalex.org/W253333369","https://openalex.org/W567122176","https://openalex.org/W589068268","https://openalex.org/W593167010","https://openalex.org/W594216789","https://openalex.org/W605418550","https://openalex.org/W620446211","https://openalex.org/W630529198","https://openalex.org/W1833188737","https://openalex.org/W1968765912","https://openalex.org/W1984056075","https://openalex.org/W1990898695","https://openalex.org/W1993593922","https://openalex.org/W2002818663","https://openalex.org/W2008165164","https://openalex.org/W2011474891","https://openalex.org/W2012795032","https://openalex.org/W2018745865","https://openalex.org/W2021154831","https://openalex.org/W2025653611","https://openalex.org/W2031031248","https://openalex.org/W2033178020","https://openalex.org/W2066186840","https://openalex.org/W2068792634","https://openalex.org/W2074794092","https://openalex.org/W2096733369","https://openalex.org/W2100378013","https://openalex.org/W2102067281","https://openalex.org/W2103337693","https://openalex.org/W2105792932","https://openalex.org/W2110884310","https://openalex.org/W2114833239","https://openalex.org/W2117852650","https://openalex.org/W2122380424","https://openalex.org/W2129831463","https://openalex.org/W2131639027","https://openalex.org/W2131934180","https://openalex.org/W2137342213","https://openalex.org/W2145438115","https://openalex.org/W2151103935","https://openalex.org/W2152196380","https://openalex.org/W2156909104","https://openalex.org/W2159371141","https://openalex.org/W2164598857","https://openalex.org/W2168188346","https://openalex.org/W2263031682","https://openalex.org/W2295615964","https://openalex.org/W2417531178","https://openalex.org/W2470322391","https://openalex.org/W2495961871","https://openalex.org/W2507217121","https://openalex.org/W2512434173","https://openalex.org/W2517499003","https://openalex.org/W2547098537","https://openalex.org/W2570343428","https://openalex.org/W2750699122","https://openalex.org/W2756012011","https://openalex.org/W2771050063","https://openalex.org/W2776879428","https://openalex.org/W2788997482","https://openalex.org/W2789546350","https://openalex.org/W2789938689","https://openalex.org/W2792701502","https://openalex.org/W2793872863","https://openalex.org/W2796347433","https://openalex.org/W2799861614","https://openalex.org/W2800289127","https://openalex.org/W2802451188","https://openalex.org/W2808448224","https://openalex.org/W2893929991","https://openalex.org/W2917798885","https://openalex.org/W2945617360","https://openalex.org/W2949249999","https://openalex.org/W2951494882","https://openalex.org/W2954026072","https://openalex.org/W2954392664","https://openalex.org/W2955574267","https://openalex.org/W2962917186","https://openalex.org/W2963150697","https://openalex.org/W2963460857","https://openalex.org/W2963977416","https://openalex.org/W2965843888","https://openalex.org/W2966535964","https://openalex.org/W2981648413","https://openalex.org/W2982041213","https://openalex.org/W2996451395","https://openalex.org/W3097096317"],"related_works":["https://openalex.org/W2954330193","https://openalex.org/W3123767743","https://openalex.org/W3081236109","https://openalex.org/W2954026072","https://openalex.org/W3158982130","https://openalex.org/W7170064985","https://openalex.org/W4312296603","https://openalex.org/W4281915060","https://openalex.org/W7196930006","https://openalex.org/W4413895328"],"abstract_inverted_index":{"Traffic":[0],"sensing":[1],"devices":[2],"are":[3,194,217,266,291],"the":[4,7,14,17,24,31,37,66,77,83,89,103,107,114,122,133,140,147,154,172,176,181,185,188,253,270,276,280,284,309,312,328,339,360,381,390,400,410,421,423,426,442],"eyes":[5],"of":[6,23,57,91,192,215,224,232,258,273,288,319,383,409],"Intelligent":[8],"Transportation":[9],"Systems":[10],"(ITS)":[11],"nowadays.Among":[12],"all":[13],"traffic":[15,78,98,111,155,173,313,361],"sensors,":[16],"surveillance":[18,178,427],"camera":[19,51,126,164,405,428],"system":[20,28,169,179,429],"is":[21,61,74,117,144,249,300,395,416],"one":[22],"most":[25],"widely":[26],"deployed":[27],"due":[29],"to":[30,64,81,97,160,196,251,268,302],"easy":[32],"installation,":[33],"valuable":[34,436],"data,":[35],"and":[36,59,129,170,198,210,219,230,238,245,256,304,307,348,372,413,432,435],"intuitive":[38],"information":[39,68,99,112,156,174,193,209,216,314,321,362,392,437],"format.However,":[40],"it's":[41],"a":[42,55,137,166,376,430],"great":[43],"pity":[44],"that":[45,145],"these":[46],"cameras":[47,290,333],"collect":[48],"data":[49,335,379],"isolated.One":[50],"can":[52,150,322,386,438],"only":[53,146,358],"monitor":[54],"fixed":[56],"view":[58],"there":[60],"no":[62],"bridge":[63],"share":[65],"monitoring":[67],"with":[69],"each":[70,162,294,384],"other.Tremendous":[71],"labor":[72],"work":[73,116],"necessary":[75],"if":[76],"managers":[79],"try":[80],"find":[82],"same":[84],"target":[85],"in":[86,121,136,153,184,351],"different":[87,125,289,317,343],"cameras.Recently,":[88],"development":[90],"computer":[92],"vision":[93,201],"technology":[94],"brings":[95],"light":[96],"extraction":[100],"based":[101,110,241,330],"on":[102,242,331,336,338,355,420],"multi-camera":[104,115,167,235,281],"scenario.Different":[105],"from":[106,175,293],"previous":[108],"single-camera":[109],"estimation,":[113],"much":[118],"more":[119,141,377,433],"challenging.Since":[120],"real-world":[123],"scenarios,":[124],"views,":[127,344],"orientations":[128],"lighting":[130,346],"conditions":[131,347],"make":[132],"video":[134,334],"features":[135,274],"huge":[138],"difference.Moreover,":[139],"rigorous":[142],"thing":[143],"top-one":[148],"candidate":[149],"be":[151,323,387,439],"used":[152],"estimation":[157,315,393],"procedure.Thus,":[158],"how":[159],"link":[161,366],"single":[163],"into":[165,221,275],"iv":[168],"estimate":[171],"whole":[177],"becomes":[180],"main":[182],"problem":[183],"research.To":[186],"address":[187],"challenges,":[189],"four":[190,213,222],"kinds":[191,214],"designed":[195,267,301],"capture":[197,252],"integrate,":[199],"including":[200,226,342,359,403],"information,":[202,205],"vehicle":[203],"attributes":[204],"road":[206],"network":[207,271],"graph":[208],"spatial-temporal":[211],"information.These":[212],"summarized":[218],"decomposed":[220],"levels":[223,287,318],"features,":[225],"frame-level,":[227,254],"clip-level,":[228],"identity-level":[229,257],"network-level":[231],"features.A":[233,259],"cutting-edge":[234],"car":[236],"tracking":[237,282,285],"Re-ID":[239],"framework":[240,329],"temporalattention":[243],"model":[244],"deep":[246],"neural":[247],"networks":[248],"improved":[250],"clip-level":[255],"Spatial-temporal":[260],"Camera":[261],"Graph":[262],"Inference":[263],"Model":[264,298],"(StCGIM)":[265],"integrate":[269],"level":[272],"MCCTRI":[277,424],"framework.After":[278],"obtained":[279],"result,":[283],"accuracy":[286],"various":[292,352],"other.An":[295],"Adaptative":[296],"Accuracy":[297],"(AAM)":[299],"eliminate":[303],"unify":[305],"errors":[306],"prepare":[308],"input":[310],"for":[311],"algorithms.Furthermore,":[316],"traffic-related":[320],"estimated":[324,388,411],"properly.The":[325],"author":[326],"evaluated":[327],"five":[332,404],"captured":[337],"Interstate":[340],"5,":[341],"orientations,":[345],"color":[349],"settings":[350],"challenging":[353],"scenarios.Based":[354],"MCCTRI,":[356],"not":[357],"value,":[363],"such":[364],"as":[365],"average":[367,369],"speed,":[368],"travel":[370],"time":[371],"volume,":[373],"but":[374],"also":[375],"particular":[378],"format":[380],"distribution":[382,412,415],"parameter":[385],"precisely.All":[389],"value":[391],"error":[394],"less":[396,417],"than":[397,418],"8%":[398],"through":[399,441],"dataset":[401],"evaluation":[402],"views.The":[406],"KL":[407],"distance":[408],"real":[414],"3.42.Based":[419],"experiment,":[422],"gives":[425],"brain":[431],"precise":[434],"extracted":[440],"method.v":[443]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2021-03-15T00:00:00"}