{"id":"https://openalex.org/W3213190644","doi":"https://doi.org/10.1145/3474124.3474161","title":"Real Life Violence Detection in Surveillance Videos using Spatiotemporal Features","display_name":"Real Life Violence Detection in Surveillance Videos using Spatiotemporal Features","publication_year":2021,"publication_date":"2021-08-05","ids":{"openalex":"https://openalex.org/W3213190644","doi":"https://doi.org/10.1145/3474124.3474161","mag":"3213190644"},"language":"en","primary_location":{"id":"doi:10.1145/3474124.3474161","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474124.3474161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","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/A5041067884","display_name":"Anugrah Srivastava","orcid":null},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anugrah Srivastava","raw_affiliation_strings":["Bennett University, India"],"affiliations":[{"raw_affiliation_string":"Bennett University, India","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070228614","display_name":"Tapas Badal","orcid":"https://orcid.org/0000-0002-2717-9069"},"institutions":[{"id":"https://openalex.org/I3129773123","display_name":"Bennett University","ror":"https://ror.org/00an5hx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129773123"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tapas Badal","raw_affiliation_strings":["Bennett University, India"],"affiliations":[{"raw_affiliation_string":"Bennett University, India","institution_ids":["https://openalex.org/I3129773123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004934262","display_name":"Rishav Singh","orcid":"https://orcid.org/0000-0003-2947-9046"},"institutions":[{"id":"https://openalex.org/I91277730","display_name":"Maulana Azad National Institute of Technology","ror":"https://ror.org/026vtd268","country_code":"IN","type":"education","lineage":["https://openalex.org/I91277730"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rishav Singh","raw_affiliation_strings":["National Institute of Technology, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, India","institution_ids":["https://openalex.org/I91277730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041067884"],"corresponding_institution_ids":["https://openalex.org/I3129773123"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65792484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"262","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9997000098228455,"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":0.9987999796867371,"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":0.8018636703491211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7013540267944336},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6576204299926758},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6092185974121094},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5546261668205261},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.5510228872299194},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5424216389656067},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5221334099769592},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4994046688079834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4811783730983734},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4801011383533478},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47232669591903687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38150691986083984},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37542131543159485},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36090776324272156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018636703491211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7013540267944336},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6576204299926758},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6092185974121094},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5546261668205261},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.5510228872299194},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5424216389656067},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5221334099769592},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4994046688079834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4811783730983734},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4801011383533478},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47232669591903687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38150691986083984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37542131543159485},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36090776324272156},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474124.3474161","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474124.3474161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W195979635","https://openalex.org/W603908379","https://openalex.org/W1587741888","https://openalex.org/W1638545488","https://openalex.org/W1932571874","https://openalex.org/W1952703253","https://openalex.org/W2016053056","https://openalex.org/W2020163092","https://openalex.org/W2053619738","https://openalex.org/W2120738856","https://openalex.org/W2139855016","https://openalex.org/W2140795960","https://openalex.org/W2164760349","https://openalex.org/W2508429489","https://openalex.org/W2623328435","https://openalex.org/W2778252923","https://openalex.org/W2947177749","https://openalex.org/W2963862187","https://openalex.org/W2978020967","https://openalex.org/W2989874968"],"related_works":["https://openalex.org/W2386723501","https://openalex.org/W2387879414","https://openalex.org/W2390304029","https://openalex.org/W2354923724","https://openalex.org/W4288601434","https://openalex.org/W2377101853","https://openalex.org/W2362180844","https://openalex.org/W2378405797","https://openalex.org/W2913869602","https://openalex.org/W2358694870"],"abstract_inverted_index":{"Automatic":[0],"violence":[1,16,75,112],"detection":[2,113],"has":[3],"remarkable":[4],"importance":[5],"from":[6,125],"practical":[7],"and":[8,34,76,104,132],"academic":[9],"point":[10],"of":[11,65,94,128],"view.":[12],"Generally":[13],"speaking,":[14],"detecting":[15],"in":[17,119,147],"a":[18,45,52,60,71,99,137],"crowded":[19],"locality,":[20],"via":[21],"computational":[22],"approaches,":[23],"is":[24,57,68,89],"challenging":[25],"owing":[26],"to":[27,44,54,69],"rapid":[28],"movements,":[29],"overlapping":[30],"characteristics,":[31],"obstructed":[32],"scenery,":[33],"scattered":[35],"backgrounds.":[36],"Fortunately,":[37],"Deep":[38],"Learning":[39],"techniques":[40],"can":[41,84],"detect":[42,55],"anomalies":[43],"certain":[46],"extent.":[47],"Furthermore,":[48],"their":[49],"popularity,":[50],"as":[51],"paradigm":[53],"violence,":[56],"growing":[58],"at":[59],"tremendous":[61],"pace.":[62],"The":[63,121],"aim":[64],"such":[66],"approaches":[67],"develop":[70],"method":[72],"that":[73,81],"recognizes":[74],"evokes":[77],"an":[78],"alarm":[79],"so":[80],"immediate":[82],"assistance":[83],"be":[85],"provided.":[86],"This":[87,96],"paper":[88],"aong":[90],"the":[91,116,126],"same":[92],"line":[93],"thought.":[95],"article":[97],"presents":[98],"Convolution":[100],"Neural":[101,106],"Network":[102,107],"(CNN)":[103],"Recurrent":[105],"(RNN)":[108],"based":[109],"approach":[110],"for":[111],"by":[114],"learning":[115],"detailed":[117],"features":[118,123],"videos.":[120],"spatio-temporal":[122],"extracted":[124],"combination":[127],"InceptonV3":[129],"pre-trained":[130],"model":[131],"late":[133],"LSTM":[134],"architecture":[135],"yielded":[136],"97.5%":[138],"accuracy":[139],"thereby,":[140],"proving":[141],"its":[142],"superiority":[143],"over":[144],"existing":[145],"methods":[146],"literature.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
