{"id":"https://openalex.org/W2902346196","doi":"https://doi.org/10.1109/icmew.2018.8551517","title":"Anomaly Detection and Localization: A Novel Two-Phase Framework Based on Trajectory-Level Characteristics","display_name":"Anomaly Detection and Localization: A Novel Two-Phase Framework Based on Trajectory-Level Characteristics","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2902346196","doi":"https://doi.org/10.1109/icmew.2018.8551517","mag":"2902346196"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2018.8551517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2018.8551517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101803331","display_name":"Kun Zhao","orcid":"https://orcid.org/0000-0001-5260-4170"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhao","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China Key Laboratory of Electromagnetic Space Information the Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China Key Laboratory of Electromagnetic Space Information the Chinese Academy of Sciences","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395492","display_name":"Bin Liu","orcid":"https://orcid.org/0000-0002-3946-8124"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China Key Laboratory of Electromagnetic Space Information the Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China Key Laboratory of Electromagnetic Space Information the Chinese Academy of Sciences","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102001334","display_name":"Weihai Li","orcid":"https://orcid.org/0000-0002-4023-8385"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihai Li","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China Key Laboratory of Electromagnetic Space Information the Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China Key Laboratory of Electromagnetic Space Information the Chinese Academy of Sciences","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064573190","display_name":"Nenghai Yu","orcid":"https://orcid.org/0000-0003-4417-9316"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nenghai Yu","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China Key Laboratory of Electromagnetic Space Information the Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China Key Laboratory of Electromagnetic Space Information the Chinese Academy of Sciences","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100415078","display_name":"Zhiqiang Liu","orcid":"https://orcid.org/0000-0001-7360-7725"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Liu","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China Key Laboratory of Electromagnetic Space Information the Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China Key Laboratory of Electromagnetic Space Information the Chinese Academy of Sciences","institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5659,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72513798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"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":0.9945999979972839,"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":0.9904000163078308,"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/trajectory","display_name":"Trajectory","score":0.7900439500808716},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6492607593536377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785951614379883},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4903991222381592},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.44458502531051636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36631476879119873},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12372669577598572}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7900439500808716},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6492607593536377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785951614379883},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4903991222381592},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.44458502531051636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36631476879119873},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12372669577598572},{"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/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/icmew.2018.8551517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2018.8551517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1967456674","https://openalex.org/W1993934387","https://openalex.org/W2012931101","https://openalex.org/W2041390734","https://openalex.org/W2068611653","https://openalex.org/W2108883382","https://openalex.org/W2122361470","https://openalex.org/W2138092272","https://openalex.org/W2163612318","https://openalex.org/W2164489414","https://openalex.org/W2341058432","https://openalex.org/W2460849547","https://openalex.org/W2464754550","https://openalex.org/W2591619575","https://openalex.org/W2748846029","https://openalex.org/W2962791923","https://openalex.org/W6687869393","https://openalex.org/W6743147227"],"related_works":["https://openalex.org/W2993400593","https://openalex.org/W2975355769","https://openalex.org/W2068660174","https://openalex.org/W3117871719","https://openalex.org/W4312999523","https://openalex.org/W2098722118","https://openalex.org/W2968885283","https://openalex.org/W2088939934","https://openalex.org/W4214901440","https://openalex.org/W3183538453"],"abstract_inverted_index":{"Detecting":[0],"and":[1,7,40],"locating":[2],"anomalies":[3],"defined":[4],"as":[5],"unusual":[6],"irregular":[8],"behaviors":[9],"are":[10,64],"important":[11],"for":[12,72],"public":[13],"security":[14],"in":[15,47,93],"surveillance":[16],"videos.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21],"propose":[22],"a":[23,68,94],"novel":[24],"feature":[25],"called":[26],"Point":[27],"Trajectory-based":[28],"Histogram":[29],"of":[30,77,102,109,120],"Optical":[31],"Flow":[32],"(PT-HOF)":[33],"to":[34,66,97],"better":[35],"capture":[36],"the":[37,44,52,60,74,81,99,107,118,121],"fine-grained":[38],"spatial":[39,100],"temporal":[41],"information":[42],"along":[43],"point":[45,91],"trajectory":[46],"crowd":[48],"scenes.":[49],"By":[50],"encoding":[51],"extracted":[53],"features":[54,63],"through":[55],"an":[56],"unsupervised":[57],"autoencoder":[58],"network,":[59],"high-level":[61],"representation":[62],"used":[65],"build":[67],"Gaussian":[69],"Mixture":[70],"Model":[71],"estimating":[73],"anomaly":[75,110],"likelihood":[76],"each":[78],"trajectory.":[79],"Furthermore,":[80],"consistency":[82],"motion":[83],"object":[84],"(CMO)":[85],"is":[86],"constructed":[87],"by":[88,124],"clustering":[89],"similar":[90],"trajectories":[92],"local":[95],"region":[96],"analyze":[98],"structure":[101],"trajectories,":[103],"which":[104],"can":[105],"improve":[106],"accuracy":[108],"localization.":[111],"Experiments":[112],"on":[113],"two":[114],"benchmark":[115],"datasets":[116],"demonstrate":[117],"advantage":[119],"proposed":[122],"algorithm":[123],"comparing":[125],"with":[126],"state-of-the-art":[127],"methods.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}