{"id":"https://openalex.org/W3171992804","doi":"https://doi.org/10.1109/icme51207.2021.9428386","title":"Cross-Scene Person Trajectory Anomaly Detection Based on Re-Identification","display_name":"Cross-Scene Person Trajectory Anomaly Detection Based on Re-Identification","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3171992804","doi":"https://doi.org/10.1109/icme51207.2021.9428386","mag":"3171992804"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5102020607","display_name":"Yuanxun Li","orcid":"https://orcid.org/0009-0005-7518-4005"},"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"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanxun Li","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,China","School of Computer Science and Engineering, Sun Yat-sen University, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049519486","display_name":"Ancong Wu","orcid":"https://orcid.org/0000-0002-7969-3190"},"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"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ancong Wu","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China","School of Computer Science and Engineering, Sun Yat-sen University, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"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":"Wei-Shi Zheng","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,China","School of Computer Science and Engineering, Sun Yat-sen University, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102020607"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52866514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"36","issue":null,"first_page":"1","last_page":"6"},"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":0.9984999895095825,"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":0.9868000149726868,"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":0.7269093990325928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7009789347648621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6504167318344116},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6244946122169495},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6159197688102722},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5957989692687988},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5359068512916565},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5344065427780151},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5315413475036621},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5232450366020203},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5114706754684448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39775657653808594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32253745198249817},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26955634355545044},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13712379336357117},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.12520509958267212},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0901125967502594}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7269093990325928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009789347648621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6504167318344116},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6244946122169495},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6159197688102722},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5957989692687988},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5359068512916565},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5344065427780151},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5315413475036621},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5232450366020203},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5114706754684448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39775657653808594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32253745198249817},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26955634355545044},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13712379336357117},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.12520509958267212},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0901125967502594},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1967456674","https://openalex.org/W2057117782","https://openalex.org/W2058732752","https://openalex.org/W2074506142","https://openalex.org/W2127979711","https://openalex.org/W2142412278","https://openalex.org/W2163612318","https://openalex.org/W2164261375","https://openalex.org/W2167225252","https://openalex.org/W2476588267","https://openalex.org/W2548996605","https://openalex.org/W2743138268","https://openalex.org/W2989623883","https://openalex.org/W2989688381","https://openalex.org/W3007013760","https://openalex.org/W3120048558","https://openalex.org/W4322614756","https://openalex.org/W6730084236"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","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"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,44,107,114],"consider":[4],"the":[5,14,35,53,85,89,98,102,117,120,124,129,137],"cross-scene":[6],"person":[7,48],"trajectory":[8,36],"anomaly":[9,95,125],"detection":[10,126],"problem,":[11],"which":[12],"detects":[13],"anomalous":[15],"trajectories":[16],"across":[17,40],"multiple":[18],"nonoverlapping":[19,41],"scenes.":[20],"This":[21],"problem":[22,127],"is":[23,31,37,91],"highly":[24],"significant":[25],"for":[26,97],"public":[27],"security,":[28],"but":[29],"it":[30],"still":[32],"underexplored.":[33],"Since":[34],"not":[38],"continuous":[39],"camera":[42],"views,":[43],"take":[45],"use":[46],"of":[47,88,104,119,131],"reidentification":[49],"(re-ID)":[50],"to":[51],"associate":[52],"same":[54],"pedestrian":[55],"in":[56],"different":[57],"scenes":[58],"while":[59],"mitigating":[60],"its":[61],"inaccuracy":[62],"by":[63],"a":[64,77,111],"directional":[65],"probabilistic":[66],"graph.":[67],"To":[68,100],"better":[69],"distinguishing":[70],"normal":[71],"samples":[72],"from":[73],"anomalies,":[74],"We":[75],"formulate":[76],"maximized":[78],"margin":[79],"graph":[80,135],"autoencoder":[81],"(MMGAE)":[82],"model,":[83],"and":[84,109,128],"reconstruction":[86],"error":[87],"MMGAE":[90],"regarded":[92],"as":[93],"an":[94,132],"indicator":[96],"sample.":[99],"verify":[101],"effectiveness":[103],"our":[105],"approach,":[106],"collected":[108],"labeled":[110],"new":[112],"dataset.":[113],"also":[115],"explore":[116],"impact":[118],"re-ID":[121],"performance":[122],"on":[123,136],"effect":[130],"inaccurately":[133],"constructed":[134],"MMGAE.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
