{"id":"https://openalex.org/W3006445634","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991951","title":"Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos","display_name":"Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W3006445634","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991951","mag":"3006445634"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw46550.2019.8991951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","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/A5087595074","display_name":"M. Matsumoto","orcid":"https://orcid.org/0000-0002-6531-9907"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masanao Matsumoto","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University,N-14, W-9, Kita-ku, Sapporo,Hokkaido,Japan,060-0814","Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University,N-14, W-9, Kita-ku, Sapporo,Hokkaido,Japan,060-0814","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103129627","display_name":"Naoki Saito","orcid":"https://orcid.org/0000-0001-7611-2461"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Saito","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University,N-14, W-9, Kita-ku, Sapporo,Hokkaido,Japan,060-0814","Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University,N-14, W-9, Kita-ku, Sapporo,Hokkaido,Japan,060-0814","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University,N-14, W-9, Kita-ku, Sapporo,Hokkaido,Japan,060-0814","Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University,N-14, W-9, Kita-ku, Sapporo,Hokkaido,Japan,060-0814","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University,N-14, W-9, Kita-ku, Sapporo,Hokkaido,Japan,060-0814","Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University,N-14, W-9, Kita-ku, Sapporo,Hokkaido,Japan,060-0814","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Kita-ku, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087595074"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19857001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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":0.9983999729156494,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7398570775985718},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6372424364089966},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.533881664276123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5135126709938049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5124190449714661},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4943535327911377},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4777866303920746},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24867278337478638},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.18749070167541504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14838165044784546},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08127939701080322},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08007457852363586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398570775985718},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6372424364089966},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.533881664276123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5135126709938049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5124190449714661},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4943535327911377},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4777866303920746},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24867278337478638},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.18749070167541504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14838165044784546},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08127939701080322},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08007457852363586},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw46550.2019.8991951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1635340334","https://openalex.org/W2029507661","https://openalex.org/W2104052971","https://openalex.org/W2122361470","https://openalex.org/W2122646361","https://openalex.org/W2190662802","https://openalex.org/W2786088545","https://openalex.org/W4250297470","https://openalex.org/W6675354903","https://openalex.org/W6748102297"],"related_works":["https://openalex.org/W2610189143","https://openalex.org/W2159424856","https://openalex.org/W2136831313","https://openalex.org/W2119916994","https://openalex.org/W2141042115","https://openalex.org/W2141457018","https://openalex.org/W2374784828","https://openalex.org/W1972318883","https://openalex.org/W1641171003","https://openalex.org/W2065031478"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,38],"Convolutional":[4],"Sparse":[5],"Coding":[6],"(CSC)-based":[7],"anomalous":[8,33,52],"event":[9],"detection":[10,68,76],"method":[11,17],"in":[12,57],"surveillance":[13],"videos.":[14],"The":[15],"proposed":[16],"derives":[18],"new":[19,46],"features":[20],"from":[21],"reconstruction":[22,65],"errors":[23],"and":[24,31,62],"sparse":[25,59],"coefficient":[26,60],"maps":[27,61],"obtained":[28],"by":[29,37],"CSC,":[30],"the":[32,44,58],"events":[34],"are":[35,43],"detected":[36],"multi-layer":[39],"network":[40],"whose":[41],"inputs":[42],"above":[45],"features.":[47],"Since":[48],"such":[49],"events,":[50],"i.e.,":[51],"objects,":[53],"have":[54],"different":[55],"characteristics":[56],"their":[63],"corresponding":[64],"errors,":[66],"successful":[67],"can":[69],"be":[70],"expected.":[71],"Experimental":[72],"results":[73],"show":[74],"high":[75],"performance":[77],"of":[78],"own":[79],"method.":[80]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}