{"id":"https://openalex.org/W2511325638","doi":"https://doi.org/10.1109/icip.2016.7532981","title":"Abnormal event detection using spatio-temporal feature and nonnegative locality-constrained linear coding","display_name":"Abnormal event detection using spatio-temporal feature and nonnegative locality-constrained linear coding","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2511325638","doi":"https://doi.org/10.1109/icip.2016.7532981","mag":"2511325638"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5101485566","display_name":"Yu Zhao","orcid":"https://orcid.org/0000-0003-2172-545X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101408918","display_name":"Lei Zhou","orcid":"https://orcid.org/0000-0001-6805-0168"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhou","raw_affiliation_strings":["Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042631401","display_name":"Keren Fu","orcid":"https://orcid.org/0000-0002-3195-2077"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keren Fu","raw_affiliation_strings":["Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.208,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90885606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"3354","last_page":"3358"},"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":0.9993000030517578,"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/T11439","display_name":"Video Analysis and Summarization","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"}}],"keywords":[{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.8054760694503784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7043279409408569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6950571537017822},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.643713653087616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.631380558013916},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5701349973678589},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5517171621322632},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5035189986228943},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4888836741447449},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.48631295561790466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3788827359676361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2900020182132721}],"concepts":[{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.8054760694503784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7043279409408569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6950571537017822},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.643713653087616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631380558013916},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5701349973678589},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5517171621322632},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5035189986228943},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4888836741447449},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.48631295561790466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3788827359676361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2900020182132721},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/icip.2016.7532981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W1993055204","https://openalex.org/W2012931101","https://openalex.org/W2017214807","https://openalex.org/W2020163092","https://openalex.org/W2027922120","https://openalex.org/W2041390734","https://openalex.org/W2097018403","https://openalex.org/W2122361470","https://openalex.org/W2134563198","https://openalex.org/W2138092272","https://openalex.org/W2142194269","https://openalex.org/W2153635508","https://openalex.org/W2159809712","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W3120421331","https://openalex.org/W4247760752","https://openalex.org/W6674642818","https://openalex.org/W6679809621","https://openalex.org/W6680470121","https://openalex.org/W6683550118","https://openalex.org/W6684373561"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2468279273","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W2025953124"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3,50],"approach":[4,24,119],"using":[5],"the":[6,30,41,56,60,73,90,99,113,117,121],"spatio-temporal":[7,27,70],"feature":[8,52,87,100],"and":[9,49,126],"nonnegative":[10,61],"locality-constrained":[11,62],"linear":[12,63],"coding":[13,64],"(NLLC)":[14],"is":[15,65,95],"proposed":[16,118],"to":[17,67,84,97],"detect":[18],"abnormal":[19,103,128],"events":[20],"in":[21,120],"videos.":[22],"This":[23],"utilizes":[25],"position-based":[26],"descriptors":[28],"as":[29,102],"low-level":[31],"representations":[32],"of":[33,40,44,80,116,123],"a":[34,45,81,86],"video":[35,58,82],"clip.":[36],"Each":[37],"descriptor":[38],"consists":[39],"position":[42],"information":[43],"space-time":[46],"interest":[47],"point":[48],"appearance":[51],"vector.":[53,88],"To":[54],"obtain":[55],"high-level":[57],"representations,":[59],"adopted":[66],"encode":[68],"each":[69],"descriptor.":[71],"Then,":[72],"max":[74],"pooling":[75],"integrates":[76],"all":[77],"NLLC":[78],"codes":[79],"clip":[83],"produce":[85],"Finally,":[89],"support":[91],"vector":[92,101],"machine":[93],"(SVM)":[94],"employed":[96],"classify":[98],"or":[104],"normal.":[105],"Experimental":[106],"results":[107],"on":[108],"two":[109],"datasets":[110],"have":[111],"demonstrated":[112],"promising":[114],"performance":[115],"detection":[122],"both":[124],"global":[125],"local":[127],"events.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}