{"id":"https://openalex.org/W2046716443","doi":"https://doi.org/10.1109/icalip.2014.7009822","title":"A new method of abnormal event detection based on sparse reconstruction","display_name":"A new method of abnormal event detection based on sparse reconstruction","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2046716443","doi":"https://doi.org/10.1109/icalip.2014.7009822","mag":"2046716443"},"language":"en","primary_location":{"id":"doi:10.1109/icalip.2014.7009822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","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/A5059041778","display_name":"Shishi Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shishi Duan","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China","School of Communication and Information Engineering, Shanghai University, Institute of Smart City, Shanghai University, Shanghai, 200072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Institute of Smart City, Shanghai University, Shanghai, 200072, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755825","display_name":"Xiangyang Wang","orcid":"https://orcid.org/0000-0003-1394-6068"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China","School of Communication and Information Engineering, Shanghai University, Institute of Smart City, Shanghai University, Shanghai, 200072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Institute of Smart City, Shanghai University, Shanghai, 200072, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101005018","display_name":"Xiaoqing Yu","orcid":"https://orcid.org/0009-0005-2540-0945"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Yu","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China","School of Communication and Information Engineering, Shanghai University, Institute of Smart City, Shanghai University, Shanghai, 200072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Institute of Smart City, Shanghai University, Shanghai, 200072, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"390","last_page":"395"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7161473035812378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6928390860557556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6698355674743652},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6086812615394592},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5944370031356812},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5256023406982422},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5180821418762207},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4954122304916382},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4727276861667633},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.46343475580215454},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.43877720832824707},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.43825429677963257},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4350610375404358},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.3629414439201355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30205202102661133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1769418716430664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7161473035812378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6928390860557556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6698355674743652},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6086812615394592},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5944370031356812},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5256023406982422},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5180821418762207},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4954122304916382},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4727276861667633},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.46343475580215454},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.43877720832824707},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.43825429677963257},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4350610375404358},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.3629414439201355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30205202102661133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1769418716430664},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/icalip.2014.7009822","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W1560593431","https://openalex.org/W1983103633","https://openalex.org/W2002010034","https://openalex.org/W2005876975","https://openalex.org/W2012931101","https://openalex.org/W2015461918","https://openalex.org/W2041390734","https://openalex.org/W2109389234","https://openalex.org/W2122361470","https://openalex.org/W2124658620","https://openalex.org/W2125105611","https://openalex.org/W2129812935","https://openalex.org/W2138092272","https://openalex.org/W2142412278","https://openalex.org/W2149021215","https://openalex.org/W2150319071","https://openalex.org/W2161969291","https://openalex.org/W2162451865","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2293873019","https://openalex.org/W3143144647","https://openalex.org/W4302161600"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W2509955295","https://openalex.org/W1987225540","https://openalex.org/W2363993830","https://openalex.org/W1778286912"],"abstract_inverted_index":{"We":[0],"proposed":[1,114],"a":[2,17,34,38],"framework":[3,139],"of":[4,19,28],"abnormal":[5,68],"event":[6],"detection":[7,124],"via":[8],"sparse":[9,73],"reconstruction":[10,74,109],"cost":[11,75,103],"over":[12,77],"the":[13,25,52,65,78,83,90,93,98,102,108,133,141],"normal":[14,20],"basis.":[15],"Given":[16],"collection":[18],"training":[21,99],"samples,":[22],"we":[23,71],"extracted":[24],"Multi-scale":[26],"Histogram":[27],"Optical":[29],"Flow":[30],"feature":[31],"and":[32,59,101,130],"generate":[33],"overcomplete":[35],"dictionary.":[36],"Then":[37],"novel":[39],"online":[40],"dictionary":[41,53,94],"selection":[42],"method":[43],"with":[44],"group":[45],"sparsity":[46],"constraint":[47],"is":[48,67,117],"designed,":[49],"which":[50],"solve":[51],"learning":[54],"problem":[55],"in":[56,92,97,107],"less":[57],"memory":[58],"time":[60],"consume.":[61],"To":[62],"detect":[63],"whether":[64],"frame":[66],"or":[69],"not,":[70],"use":[72,105],"(SRC)":[76],"testing":[79],"sample":[80],"to":[81,85,104,121,132],"indicate":[82],"probability":[84],"be":[86,111],"abnormal.":[87],"By":[88],"considering":[89],"basis":[91],"appears":[95],"frequently":[96],"dataset":[100,129],"it":[106],"should":[110],"lower.":[112],"The":[113],"weighted":[115],"SRC":[116],"more":[118],"robust":[119],"compared":[120],"other":[122],"outlier":[123],"criteria.":[125],"Experiments":[126],"on":[127],"UMN":[128],"comparison":[131],"state-of-the-art":[134],"methods":[135],"show":[136],"that":[137],"our":[138],"outperform":[140],"others.":[142]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}