{"id":"https://openalex.org/W1957718552","doi":"https://doi.org/10.1109/cvpr.2015.7298909","title":"Video anomaly detection and localization using hierarchical feature representation and Gaussian process regression","display_name":"Video anomaly detection and localization using hierarchical feature representation and Gaussian process regression","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1957718552","doi":"https://doi.org/10.1109/cvpr.2015.7298909","mag":"1957718552"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5102414810","display_name":"Kaiwen Cheng","orcid":"https://orcid.org/0009-0006-3558-9371"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kai-Wen Cheng","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology Taipei, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology Taipei, Taiwan, R.O.C","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077826217","display_name":"Yie\u2010Tarng Chen","orcid":"https://orcid.org/0000-0002-7221-1603"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yie-Tarng Chen","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology Taipei, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology Taipei, Taiwan, R.O.C","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111446401","display_name":"Wen\u2010Hsien Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsien Fang","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology Taipei, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"Dept. of Electronic and Computer Engineering, National Taiwan University of Science and Technology Taipei, Taiwan, R.O.C","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102414810"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":25.4544,"has_fulltext":false,"cited_by_count":231,"citation_normalized_percentile":{"value":0.99568348,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.995199978351593,"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":0.6933470368385315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6900491714477539},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6519136428833008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.622453510761261},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6134984493255615},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5513085722923279},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.524811863899231},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5054283142089844},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4418860971927643},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4389411509037018},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4146365821361542},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.40789827704429626}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6933470368385315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900491714477539},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6519136428833008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.622453510761261},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6134984493255615},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5513085722923279},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.524811863899231},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5054283142089844},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4418860971927643},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4389411509037018},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4146365821361542},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.40789827704429626},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7298909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.47999998927116394,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1595717062","https://openalex.org/W1746819321","https://openalex.org/W1972743048","https://openalex.org/W1987509889","https://openalex.org/W1991597092","https://openalex.org/W2004149082","https://openalex.org/W2012931101","https://openalex.org/W2019219692","https://openalex.org/W2026418062","https://openalex.org/W2047016883","https://openalex.org/W2055846239","https://openalex.org/W2072075581","https://openalex.org/W2097363716","https://openalex.org/W2108333036","https://openalex.org/W2122361470","https://openalex.org/W2123557418","https://openalex.org/W2124609748","https://openalex.org/W2132870739","https://openalex.org/W2142125366","https://openalex.org/W2161969291","https://openalex.org/W2162616721","https://openalex.org/W2163612318","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2533739470","https://openalex.org/W4211049957","https://openalex.org/W6635755983","https://openalex.org/W6664842933","https://openalex.org/W6681310799"],"related_works":["https://openalex.org/W2293149949","https://openalex.org/W2026099691","https://openalex.org/W4284672201","https://openalex.org/W2377486419","https://openalex.org/W2943202426","https://openalex.org/W2950156284","https://openalex.org/W2736714427","https://openalex.org/W2163679795","https://openalex.org/W2137816434","https://openalex.org/W2017956276"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,27],"hierarchical":[4,13],"framework":[5],"for":[6,105],"detecting":[7],"local":[8,21,56],"and":[9,16,57,95,126,131,152],"global":[10,37,58],"anomalies":[11],"via":[12],"feature":[14],"representation":[15],"Gaussian":[17,98],"process":[18,99],"regression.":[19,100],"While":[20],"anomaly":[22,38],"is":[23,92,113,120],"typically":[24],"detected":[25],"as":[26,50,70],"3D":[28],"pattern":[29],"matching":[30],"problem,":[31],"we":[32,60],"are":[33],"more":[34],"interested":[35],"in":[36,45,135],"that":[39,141],"involves":[40],"multiple":[41],"normal":[42,65],"events":[43],"interacting":[44],"an":[46,110],"unusual":[47],"manner":[48],"such":[49],"car":[51],"accident.":[52],"To":[53],"simultaneously":[54],"detect":[55],"anomalies,":[59],"formulate":[61],"the":[62,71,76,81,107,129,136,145],"extraction":[63],"of":[64,73,80,89,109],"interactions":[66],"from":[67],"training":[68,137],"video":[69],"problem":[72],"efficiently":[74],"finding":[75],"frequent":[77],"geometric":[78],"relations":[79],"nearby":[82],"sparse":[83],"spatio-temporal":[84],"interest":[85],"points.":[86],"A":[87,101],"codebook":[88],"interaction":[90,112],"templates":[91],"then":[93],"constructed":[94],"modeled":[96],"using":[97],"novel":[102],"inference":[103],"method":[104],"computing":[106],"likelihood":[108],"observed":[111],"also":[114],"proposed.":[115],"As":[116],"such,":[117],"our":[118,142],"model":[119],"robust":[121],"to":[122],"slight":[123],"topological":[124],"deformations":[125],"can":[127],"handle":[128],"noise":[130],"data":[132],"unbalance":[133],"problems":[134],"data.":[138],"Simulations":[139],"show":[140],"system":[143],"outperforms":[144],"main":[146],"state-of-the-art":[147],"methods":[148],"on":[149,160],"this":[150],"topic":[151],"achieves":[153],"at":[154],"least":[155],"80%":[156],"detection":[157],"rates":[158],"based":[159],"three":[161],"challenging":[162],"datasets.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":33},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}