{"id":"https://openalex.org/W2584216192","doi":"https://doi.org/10.1109/icinfa.2016.7832034","title":"Detecting anomaly based on time dependence for large scenes","display_name":"Detecting anomaly based on time dependence for large scenes","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2584216192","doi":"https://doi.org/10.1109/icinfa.2016.7832034","mag":"2584216192"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2016.7832034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7832034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","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/A5100620554","display_name":"Lixin Chen","orcid":"https://orcid.org/0000-0003-1686-8536"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Chen","raw_affiliation_strings":["Key Laboratory of Human-Machine Intelligence-Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Human-Machine Intelligence-Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354398","display_name":"Huiwen Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiwen Guo","raw_affiliation_strings":["Key Laboratory of Human-Machine Intelligence-Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Human-Machine Intelligence-Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352764","display_name":"Xinyu Wu","orcid":"https://orcid.org/0000-0001-6130-7821"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wu","raw_affiliation_strings":["Key Laboratory of Human-Machine Intelligence-Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Human-Machine Intelligence-Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052037779","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0002-9845-999X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Wei Feng","raw_affiliation_strings":["Key Laboratory of Human-Machine Intelligence-Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","Key Laboratory of Human-Machine Intelligence-Synergic Systems, Chinese Academy of Sciences","NT, The Chinese University of Hong Kong Shatin, Hong Kong, SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Human-Machine Intelligence-Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Key Laboratory of Human-Machine Intelligence-Synergic Systems, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"NT, The Chinese University of Hong Kong Shatin, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100674293","display_name":"Xiaoxin Chen","orcid":"https://orcid.org/0009-0009-0984-7500"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxin Chen","raw_affiliation_strings":["Key Laboratory of Human-Machine Intelligence-Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Human-Machine Intelligence-Synergic Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8833,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85566259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1376","last_page":"1381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7186495065689087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6515928506851196},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5446275472640991},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5291374325752258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4859801232814789},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.47989189624786377},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4400224983692169},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4308406114578247},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4141373932361603},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39299026131629944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19777879118919373}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7186495065689087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6515928506851196},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5446275472640991},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5291374325752258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4859801232814789},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.47989189624786377},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4400224983692169},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4308406114578247},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4141373932361603},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39299026131629944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19777879118919373},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2016.7832034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2016.7832034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2062364908","https://openalex.org/W2096229530","https://openalex.org/W2096349671","https://openalex.org/W2100894530","https://openalex.org/W2101178587","https://openalex.org/W2108404684","https://openalex.org/W2118932535","https://openalex.org/W2121819010","https://openalex.org/W2130822989","https://openalex.org/W2140317610","https://openalex.org/W2142632156","https://openalex.org/W2143043044","https://openalex.org/W2156229827","https://openalex.org/W2158142737","https://openalex.org/W2158634074","https://openalex.org/W2165715280","https://openalex.org/W2165742335","https://openalex.org/W3147444766","https://openalex.org/W6675451012","https://openalex.org/W6678039880","https://openalex.org/W6679445148"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"We":[0,76,113,168,205],"propose":[1],"a":[2,71],"novel":[3],"approach":[4],"for":[5,220],"the":[6,31,49,62,78,87,128,133,149,171,183,196,202,207,212,221,229],"crowd":[7,50,74,81,150,203],"anomaly":[8,51,151,158,230],"detection":[9,52,208,231],"in":[10,30],"multiple":[11],"cameras":[12],"with":[13],"non-overlapping":[14,32],"and":[15,90,93,105,138,164],"visible":[16],"views.":[17],"As":[18],"we":[19,38,46,58,69,102,126,146],"all":[20],"know":[21],"that":[22,45],"there":[23],"are":[24,154],"some":[25],"kinds":[26,156],"of":[27,73,80,86,116,122,157,175,185],"information":[28],"hidden":[29],"fields":[33],"always.":[34],"In":[35],"this":[36],"paper,":[37],"will":[39],"mine":[40],"time":[41,54,110],"dependence":[42,111],"data":[43,85],"so":[44],"can":[47,147],"analyze":[48,103,148],"from":[53],"dimension's":[55],"angle.":[56],"Firstly,":[57],"have":[59],"to":[60],"preprocess":[61],"real":[63,91,222],"scene":[64,89,92,223],"using":[65,83],"optical":[66],"flow.":[67],"Secondly,":[68],"build":[70,77],"model":[72,79,187,198],"movement.":[75],"movement":[82],"random":[84],"simulated":[88],"based":[94,108,131,210],"on":[95,109,132,211],"neighborhood":[96],"weighted":[97],"fuzzy":[98],"c-means(NW-FCM)":[99],"algorithm.":[100],"Thirdly,":[101],"local":[104,123],"global":[106,129,216],"path":[107,130],"data.":[112],"research":[114],"probability":[115,176,184],"one":[117,120],"trajectory":[118],"through":[119],"piece":[121],"path.":[124],"Then":[125],"study":[127],"Bayesian":[134],"Information":[135],"Criterion":[136],"(BIC)":[137],"Markov":[139],"Chain":[140],"Monte":[141],"Carlo":[142],"(MCMC).":[143],"At":[144],"last,":[145],"detection.":[152],"There":[153],"two":[155],"events":[159,163],"including":[160],"abnormal":[161,165],"retention":[162],"moving":[166],"event.":[167],"set":[169],"up":[170],"empirical":[172],"threshold":[173],"value":[174],"P":[177,191],"<sub":[178,192],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[179,193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">e</sub>":[180,194],".":[181],"If":[182],"detected":[186,197],"is":[188,199,224,232],"less":[189],"than":[190],",":[195],"marked":[200],"as":[201],"anomaly.":[204],"judge":[206],"system":[209],"confusion":[213],"matrix.":[214],"The":[215],"comprehensive":[217],"assessment":[218],"criteria":[219],"95.6%.":[225],"Experimental":[226],"results":[227],"show":[228],"precise.":[233]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}