{"id":"https://openalex.org/W4283717651","doi":"https://doi.org/10.1145/3532342.3532343","title":"Dangerous Behavior Recognition Based on Pose Estimation and Action Analysis","display_name":"Dangerous Behavior Recognition Based on Pose Estimation and Action Analysis","publication_year":2022,"publication_date":"2022-03-25","ids":{"openalex":"https://openalex.org/W4283717651","doi":"https://doi.org/10.1145/3532342.3532343"},"language":"en","primary_location":{"id":"doi:10.1145/3532342.3532343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532342.3532343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Symposium on Signal Processing Systems","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/A5111488822","display_name":"Xiaojun Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Bai","raw_affiliation_strings":["School of Computer Science and Engineering, Xi'an Technological University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an Technological University, China","institution_ids":["https://openalex.org/I4210110558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050886978","display_name":"Zongxin Wang","orcid":"https://orcid.org/0000-0002-6278-6577"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongxin Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Xi'an Technological University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an Technological University, China","institution_ids":["https://openalex.org/I4210110558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100756509","display_name":"Zhiying Zhang","orcid":"https://orcid.org/0000-0001-6982-4735"},"institutions":[{"id":"https://openalex.org/I4210110558","display_name":"Xi'an Technological University","ror":"https://ror.org/01t8prc81","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiying Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Xi'an Technological University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an Technological University, China","institution_ids":["https://openalex.org/I4210110558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210110558"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7919409871101379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7774569988250732},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6728793382644653},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6722085475921631},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6026317477226257},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.597632884979248},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5113863348960876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4842221736907959},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4841323792934418},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.46883291006088257},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4665505588054657},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4524078667163849},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4438377022743225},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42809492349624634},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.42090851068496704},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.07446777820587158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919409871101379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7774569988250732},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6728793382644653},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6722085475921631},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6026317477226257},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.597632884979248},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5113863348960876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4842221736907959},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4841323792934418},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.46883291006088257},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4665505588054657},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4524078667163849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4438377022743225},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42809492349624634},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.42090851068496704},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.07446777820587158},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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:10.1145/3532342.3532343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532342.3532343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Symposium on Signal Processing Systems","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":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1952703253","https://openalex.org/W2034443282","https://openalex.org/W2058256495","https://openalex.org/W2064675550","https://openalex.org/W2145546283","https://openalex.org/W2212964709","https://openalex.org/W2847278683","https://openalex.org/W2904099109","https://openalex.org/W2909888383","https://openalex.org/W2916798096","https://openalex.org/W2934625602","https://openalex.org/W2963076818","https://openalex.org/W2964221239","https://openalex.org/W3021811746","https://openalex.org/W3035414587","https://openalex.org/W3040842087","https://openalex.org/W3195970397"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3135266094","https://openalex.org/W2796878614","https://openalex.org/W2788865504"],"abstract_inverted_index":{"In":[0,81,103,149],"order":[1],"to":[2,44,92,169],"identify":[3,178],"dangerous":[4,76,154,179],"behaviors":[5],"such":[6],"as":[7,34,41,91,110],"fighting":[8],"in":[9,78],"public":[10,187],"area,":[11],"proposed":[12,144],"a":[13,111,153,166],"deep":[14],"learning":[15],"model":[16,29,113],"that":[17,138],"combines":[18],"human":[19,46,51,122],"post":[20],"estimation":[21],"and":[22,49,55,96,128,177],"action":[23,64,115],"analysis":[24,65,118,170],"for":[25,63,114,186],"behavior":[26,77,155,180],"recognition.":[27],"The":[28],"takes":[30],"video":[31,173],"frame":[32,53,69],"sequence":[33,127],"input,":[35],"first":[36,83],"make":[37,57],"use":[38,58,165],"of":[39,59,100,121,142],"HRNet":[40,89],"backbone":[42],"network":[43,62],"detect":[45],"body":[47],"joints":[48,123],"generate":[50],"pose":[52,68],"sequence,":[54,70,130],"then,":[56],"recurrent":[60],"neural":[61],"from":[66,124,175,181],"the":[67,82,98,104,119,139,143,150,171],"thus":[71,131,184],"determine":[72],"whether":[73],"there":[74],"is":[75,158],"this":[79,162],"video.":[80],"part,":[84,106,152],"optimization":[85],"was":[86],"made":[87],"on":[88,161],"so":[90],"reduce":[93],"its":[94],"parameter":[95],"improve":[97],"accuracy":[99,141],"joint":[101],"location.":[102],"second":[105],"introduced":[107],"Cubic":[108],"LSTM":[109],"comprehensive":[112],"recognition,":[116],"which":[117,164],"motion":[120],"both":[125],"temporal":[126],"spatial":[129],"achieve":[132],"better":[133],"inference":[134],"score.":[135],"Experiments":[136],"show":[137],"recognition":[140,156],"method":[145],"can":[146],"reach":[147],"92.8%.":[148],"last":[151],"system":[157],"developed":[159],"based":[160],"model,":[163],"monitoring":[167],"host":[168],"captured":[172],"frames":[174],"cameras,":[176],"them":[182],"automatically,":[183],"serve":[185],"security":[188],"tasks.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}