{"id":"https://openalex.org/W2897511230","doi":"https://doi.org/10.3390/s18103400","title":"NCA-Net for Tracking Multiple Objects across Multiple Cameras","display_name":"NCA-Net for Tracking Multiple Objects across Multiple Cameras","publication_year":2018,"publication_date":"2018-10-11","ids":{"openalex":"https://openalex.org/W2897511230","doi":"https://doi.org/10.3390/s18103400","mag":"2897511230","pmid":"https://pubmed.ncbi.nlm.nih.gov/30314285"},"language":"en","primary_location":{"id":"doi:10.3390/s18103400","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18103400","pdf_url":"https://www.mdpi.com/1424-8220/18/10/3400/pdf?version=1539239467","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/10/3400/pdf?version=1539239467","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086504815","display_name":"Yihua Tan","orcid":"https://orcid.org/0000-0003-0963-5339"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yihua Tan","raw_affiliation_strings":["National Key Laboratory of Science &amp; Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Hongshan District, Wuhan 430074, China"],"raw_orcid":"https://orcid.org/0000-0003-0963-5339","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science &amp; Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Hongshan District, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041862481","display_name":"Yuan Tai","orcid":"https://orcid.org/0000-0001-9516-6481"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Tai","raw_affiliation_strings":["National Key Laboratory of Science &amp; Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Hongshan District, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science &amp; Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Hongshan District, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064387292","display_name":"Shengzhou Xiong","orcid":"https://orcid.org/0000-0002-0442-8990"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengzhou Xiong","raw_affiliation_strings":["National Key Laboratory of Science &amp; Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Hongshan District, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science &amp; Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Hongshan District, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086504815"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.2119,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56838933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":"10","first_page":"3400","last_page":"3400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.7975126504898071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7487884759902954},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6992120742797852},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.577775239944458},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.570890486240387},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5313176512718201},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5108139514923096},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48567426204681396},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46420201659202576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44619235396385193},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43079477548599243},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4130787253379822},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.26946526765823364},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16969862580299377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975126504898071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7487884759902954},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6992120742797852},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.577775239944458},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.570890486240387},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5313176512718201},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5108139514923096},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48567426204681396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46420201659202576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44619235396385193},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43079477548599243},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4130787253379822},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.26946526765823364},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16969862580299377},{"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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s18103400","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18103400","pdf_url":"https://www.mdpi.com/1424-8220/18/10/3400/pdf?version=1539239467","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:30314285","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30314285","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ac1ee29b28a440eda73a63caeb384b93","is_oa":true,"landing_page_url":"https://doaj.org/article/ac1ee29b28a440eda73a63caeb384b93","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 18, Iss 10, p 3400 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5161874","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6210313","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/10/3400/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s18103400","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6210313","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6210313","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18103400","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18103400","pdf_url":"https://www.mdpi.com/1424-8220/18/10/3400/pdf?version=1539239467","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4813092880","display_name":null,"funder_award_id":"2017KFYXJJ179","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7067671541","display_name":"\u7ed3\u5408\u751f\u7269\u89c6\u89c9\u673a\u5236\u548c\u6df1\u5ea6\u7279\u5f81\u5b66\u4e60\u7684\u9065\u611f\u56fe\u50cf\u76ee\u6807\u8bc6\u522b\u4e0e\u7cbe\u786e\u63d0\u53d6\u6280\u672f","funder_award_id":"41371339","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G997623887","display_name":null,"funder_award_id":"No. 41371339","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2897511230.pdf","grobid_xml":"https://content.openalex.org/works/W2897511230.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W88118784","https://openalex.org/W1531786615","https://openalex.org/W1544183378","https://openalex.org/W1576709274","https://openalex.org/W1885883860","https://openalex.org/W1963861389","https://openalex.org/W1971955426","https://openalex.org/W1980208198","https://openalex.org/W1987389530","https://openalex.org/W1997520974","https://openalex.org/W2022515186","https://openalex.org/W2029742464","https://openalex.org/W2042488165","https://openalex.org/W2053158914","https://openalex.org/W2055022211","https://openalex.org/W2070019681","https://openalex.org/W2097117768","https://openalex.org/W2097546612","https://openalex.org/W2122469558","https://openalex.org/W2124781496","https://openalex.org/W2142674933","https://openalex.org/W2142867912","https://openalex.org/W2147953023","https://openalex.org/W2155893237","https://openalex.org/W2158634074","https://openalex.org/W2163605009","https://openalex.org/W2165609887","https://openalex.org/W2171243491","https://openalex.org/W2194775991","https://openalex.org/W2223676519","https://openalex.org/W2225887246","https://openalex.org/W2293743905","https://openalex.org/W2312010477","https://openalex.org/W2467139031","https://openalex.org/W2508962983","https://openalex.org/W2509780116","https://openalex.org/W2511791013","https://openalex.org/W2543696449","https://openalex.org/W2548601959","https://openalex.org/W2603693522","https://openalex.org/W2606377603","https://openalex.org/W2767620861","https://openalex.org/W2768731295","https://openalex.org/W2851336928","https://openalex.org/W4255815195","https://openalex.org/W6680962578","https://openalex.org/W6745439138","https://openalex.org/W6842594352"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Tracking":[0],"multiple":[1,91,95],"pedestrians":[2],"across":[3,94],"multi-camera":[4],"scenarios":[5],"is":[6,84,136],"an":[7,25],"important":[8],"part":[9],"of":[10,68,90,101,142],"intelligent":[11],"video":[12],"surveillance":[13],"and":[14,46,72,113,123],"has":[15,23],"great":[16],"potential":[17],"application":[18],"for":[19],"public":[20],"security,":[21],"which":[22],"been":[24],"attractive":[26],"topic":[27],"in":[28,31],"the":[29,88,99,124,139,152,171,183,188,198],"literature":[30],"recent":[32],"years.":[33],"In":[34,75,167],"most":[35],"previous":[36],"methods,":[37],"artificial":[38],"features":[39,111,190],"such":[40],"as":[41],"color":[42],"histograms,":[43],"HOG":[44],"descriptors":[45],"Haar-like":[47],"feature":[48,79],"were":[49],"adopted":[50],"to":[51,86,128],"associate":[52],"objects":[53,92],"among":[54],"different":[55],"cameras.":[56],"But":[57],"there":[58],"are":[59],"still":[60],"many":[61],"challenges":[62],"caused":[63,104],"by":[64,97,105],"low":[65],"resolution,":[66],"variation":[67],"illumination,":[69],"complex":[70],"background":[71],"posture":[73],"change.":[74],"this":[76],"paper,":[77],"a":[78,117,163],"extraction":[80],"network":[81,109],"named":[82],"NCA-Net":[83,173],"designed":[85],"improve":[87],"performance":[89],"tracking":[93,177,199],"cameras":[96],"avoiding":[98],"problem":[100],"insufficient":[102],"robustness":[103],"hand-crafted":[106],"features.":[107],"The":[108,133,148,179],"combines":[110],"learning":[112,115],"metric":[114],"via":[116],"Convolutional":[118],"Neural":[119],"Network":[120],"(CNN)":[121],"model":[122],"loss":[125,134,141],"function":[126,135],"similar":[127],"neighborhood":[129],"components":[130],"analysis":[131],"(NCA).":[132],"adapted":[137],"from":[138],"probability":[140],"NCA":[143],"aiming":[144],"at":[145],"object":[146],"tracking.":[147],"experiments":[149],"conducted":[150],"on":[151,182,197],"NLPR_MCT":[153],"dataset":[154],"show":[155],"that":[156,187],"we":[157,169],"obtain":[158],"satisfactory":[159],"results":[160,181],"even":[161],"with":[162,174],"simple":[164],"matching":[165],"operation.":[166],"addition,":[168],"embed":[170],"proposed":[172],"two":[175],"existing":[176],"systems.":[178],"experimental":[180],"corresponding":[184],"datasets":[185],"demonstrate":[186],"extracted":[189],"using":[191],"NCA-net":[192],"can":[193],"effectively":[194],"make":[195],"improvement":[196],"performance.":[200]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
