{"id":"https://openalex.org/W2076520961","doi":"https://doi.org/10.1109/icalip.2014.7009931","title":"Crowded abnormal detection based on mixture of kernel dynamic texture","display_name":"Crowded abnormal detection based on mixture of kernel dynamic texture","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2076520961","doi":"https://doi.org/10.1109/icalip.2014.7009931","mag":"2076520961"},"language":"en","primary_location":{"id":"doi:10.1109/icalip.2014.7009931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009931","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":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"931","last_page":"936"},"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":0.9987000226974487,"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":0.9902999997138977,"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":0.8414009809494019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8211976289749146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7635484933853149},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7314891815185547},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6420347690582275},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5651527047157288},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5204025506973267},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.49581989645957947},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49303051829338074},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4874544143676758},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48642635345458984},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4654479920864105},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.453213632106781},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.44151052832603455},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4318860173225403},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.42576146125793457},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2605375647544861},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2089814841747284}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8414009809494019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8211976289749146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7635484933853149},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314891815185547},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6420347690582275},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5651527047157288},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5204025506973267},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.49581989645957947},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49303051829338074},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4874544143676758},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48642635345458984},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4654479920864105},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.453213632106781},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.44151052832603455},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4318860173225403},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.42576146125793457},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2605375647544861},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2089814841747284},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icalip.2014.7009931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009931","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":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1482815597","https://openalex.org/W1498983721","https://openalex.org/W2006170882","https://openalex.org/W2026418062","https://openalex.org/W2102625004","https://openalex.org/W2105732805","https://openalex.org/W2108404684","https://openalex.org/W2118760499","https://openalex.org/W2125105611","https://openalex.org/W2128272608","https://openalex.org/W2129520225","https://openalex.org/W2138092272","https://openalex.org/W2140095548","https://openalex.org/W2142412278","https://openalex.org/W2144207571","https://openalex.org/W2160144769","https://openalex.org/W2162616721","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2167052694","https://openalex.org/W2912155302","https://openalex.org/W3180691681","https://openalex.org/W6676014314","https://openalex.org/W6677571061","https://openalex.org/W6797909445"],"related_works":["https://openalex.org/W4396766241","https://openalex.org/W2406935090","https://openalex.org/W2542174536","https://openalex.org/W1993524181","https://openalex.org/W2545529375","https://openalex.org/W2155354377","https://openalex.org/W2534464805","https://openalex.org/W2384029573","https://openalex.org/W2066021222","https://openalex.org/W2941529569"],"abstract_inverted_index":{"A":[0],"novel":[1],"method":[2,31],"for":[3,26,56],"anomaly":[4],"detection":[5,47,50,88,99,114],"in":[6],"crowded":[7],"scenes":[8],"is":[9,60,93,104],"presented.":[10],"In":[11],"our":[12],"method,":[13,44],"a":[14,97],"new":[15],"feature":[16],"which":[17],"named":[18],"Mixture":[19],"of":[20,38,110],"Kernel":[21],"Dynamic":[22],"Texture":[23],"was":[24],"used":[25,94],"video":[27],"representation.":[28],"The":[29,54,101],"MKDT":[30,84],"jointly":[32],"models":[33],"the":[34,39,45,77,83,111],"appearance":[35],"and":[36,51,64],"dynamics":[37],"scene.":[40],"Based":[41],"on":[42,62,90],"this":[43,67],"abnormal":[46,113],"includes":[48],"temporal":[49],"spatial":[52,87,98],"detection.":[53,73],"model":[55,68],"normal":[57],"crowd":[58],"behavior":[59],"based":[61,89],"MKDTs":[63],"outliers":[65],"under":[66,82],"are":[69,76],"labeled":[70],"as":[71],"anomalies":[72,75],"Temporal":[74],"events":[78],"with":[79],"low":[80],"probability":[81],"models.":[85],"While":[86],"discriminant":[91],"saliency":[92],"to":[95,106],"get":[96],"map.":[100],"proposed":[102],"representation":[103],"shown":[105],"outperform":[107],"various":[108],"state":[109],"art":[112],"methods.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}