{"id":"https://openalex.org/W2050373612","doi":"https://doi.org/10.1109/acssc.2012.6489384","title":"A joint sparsity model for video anomaly detection","display_name":"A joint sparsity model for video anomaly detection","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2050373612","doi":"https://doi.org/10.1109/acssc.2012.6489384","mag":"2050373612"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2012.6489384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2012.6489384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","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/A5011076660","display_name":"Xuan Mo","orcid":"https://orcid.org/0000-0001-6858-9307"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Mo","raw_affiliation_strings":["EE Dept. Pennsylvania State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE Dept. Pennsylvania State University, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014013504","display_name":"Vishal Monga","orcid":"https://orcid.org/0000-0002-5100-2263"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishal Monga","raw_affiliation_strings":["EE Dept. Pennsylvania State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE Dept. Pennsylvania State University, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003241140","display_name":"Raja Bala","orcid":"https://orcid.org/0000-0002-0142-9859"},"institutions":[{"id":"https://openalex.org/I173498003","display_name":"Palo Alto Research Center","ror":"https://ror.org/0529fxt39","country_code":"US","type":"facility","lineage":["https://openalex.org/I173498003","https://openalex.org/I4210132870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raja Bala","raw_affiliation_strings":["Xerox Research Center Webster, NY, USA","Xerox Research Center, Webster, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Center Webster, NY, USA","institution_ids":["https://openalex.org/I173498003"]},{"raw_affiliation_string":"Xerox Research Center, Webster, NY, USA","institution_ids":["https://openalex.org/I173498003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032649501","display_name":"Zhigang Fan","orcid":"https://orcid.org/0000-0002-4628-1915"},"institutions":[{"id":"https://openalex.org/I173498003","display_name":"Palo Alto Research Center","ror":"https://ror.org/0529fxt39","country_code":"US","type":"facility","lineage":["https://openalex.org/I173498003","https://openalex.org/I4210132870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhigang Fan","raw_affiliation_strings":["Xerox Research Center Webster, NY, USA","Xerox Research Center, Webster, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Center Webster, NY, USA","institution_ids":["https://openalex.org/I173498003"]},{"raw_affiliation_string":"Xerox Research Center, Webster, NY, USA","institution_ids":["https://openalex.org/I173498003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8846,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79706498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1969","last_page":"1973"},"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":0.9995999932289124,"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":0.9976000189781189,"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/robustness","display_name":"Robustness (evolution)","score":0.8235665559768677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.779574990272522},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7235273718833923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7202393412590027},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7003256678581238},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6500547528266907},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5595608353614807},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5368820428848267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.395542711019516},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3691387176513672},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1164807677268982}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8235665559768677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.779574990272522},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7235273718833923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7202393412590027},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7003256678581238},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6500547528266907},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5595608353614807},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5368820428848267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.395542711019516},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3691387176513672},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1164807677268982},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2012.6489384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2012.6489384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1976058649","https://openalex.org/W1995903777","https://openalex.org/W2008810234","https://openalex.org/W2021659075","https://openalex.org/W2026140901","https://openalex.org/W2097511040","https://openalex.org/W2109389234","https://openalex.org/W2110934250","https://openalex.org/W2111918405","https://openalex.org/W2118572719","https://openalex.org/W2121167733","https://openalex.org/W2129812935","https://openalex.org/W2149021215","https://openalex.org/W2155763684","https://openalex.org/W2162108390","https://openalex.org/W2164223054","https://openalex.org/W4241521373","https://openalex.org/W6683941694"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W2105642232","https://openalex.org/W4281727072","https://openalex.org/W4312219546","https://openalex.org/W3154990682","https://openalex.org/W2171975302","https://openalex.org/W2748574964","https://openalex.org/W1996130883","https://openalex.org/W2965594636","https://openalex.org/W2912550626"],"abstract_inverted_index":{"Video":[0],"anomaly":[1,94],"detection":[2,59,95,106],"can":[3],"be":[4],"used":[5,73],"in":[6],"the":[7,44,58,100,105,121],"transportation":[8],"domain":[9],"to":[10,46,79,83,102],"identify":[11],"unusual":[12],"patterns":[13],"such":[14],"as":[15],"traffic":[16],"violations,":[17],"accidents,":[18],"unsafe":[19],"driver":[20],"behavior,":[21],"street":[22],"crime,":[23],"and":[24,37,52,77,104,117,129],"other":[25],"suspicious":[26],"activities.":[27],"A":[28,40],"common":[29],"class":[30],"of":[31,60,107,123],"approaches":[32],"relies":[33],"upon":[34],"object":[35],"tracking":[36],"trajectory":[38],"analysis.":[39],"key":[41],"challenge":[42,56],"is":[43,57],"ability":[45],"effectively":[47,97],"handle":[48],"occlusions":[49],"among":[50],"objects":[51],"their":[53],"trajectories.":[54],"Another":[55],"joint":[61,90,108],"anomalies":[62,109],"between":[63],"multiple":[64,111],"moving":[65],"objects.":[66,112],"Recently":[67],"sparse":[68],"reconstruction":[69],"techniques":[70],"have":[71],"been":[72],"for":[74,93,126],"image":[75],"classification,":[76],"shown":[78],"provide":[80],"excellent":[81],"robustness":[82,101],"occlusion.":[84],"This":[85],"paper":[86],"proposes":[87],"a":[88],"new":[89],"sparsity":[91],"model":[92],"that":[96],"addresses":[98],"both":[99,127],"occlusion":[103],"involving":[110],"Experimental":[113],"results":[114],"on":[115],"real":[116],"synthetic":[118],"data":[119],"demonstrate":[120],"effectiveness":[122],"our":[124],"approach":[125],"single-object":[128],"multi-object":[130],"anomalies.":[131]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}