{"id":"https://openalex.org/W2085201020","doi":"https://doi.org/10.1109/iros.2005.1545205","title":"A detection system for human abnormal behavior","display_name":"A detection system for human abnormal behavior","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2085201020","doi":"https://doi.org/10.1109/iros.2005.1545205","mag":"2085201020"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2005.1545205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2005.1545205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5100352764","display_name":"Xinyu Wu","orcid":"https://orcid.org/0000-0001-6130-7821"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyu Wu","raw_affiliation_strings":["Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, China","Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066181483","display_name":"Yongsheng Ou","orcid":"https://orcid.org/0000-0003-2998-267X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Ou","raw_affiliation_strings":["Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, China","Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044361827","display_name":"Huihuan Qian","orcid":"https://orcid.org/0000-0001-8269-0882"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihuan Qian","raw_affiliation_strings":["Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, China","Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112309496","display_name":"Yangsheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangsheng Xu","raw_affiliation_strings":["Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, China","Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100352764"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":1.1724,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.80387995,"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":"1204","last_page":"1208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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":0.9994999766349792,"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":0.9980000257492065,"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":0.7379565238952637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7313500642776489},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6151400208473206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6029283404350281},{"id":"https://openalex.org/keywords/crowd-psychology","display_name":"Crowd psychology","score":0.5700024962425232},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5455313920974731},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5043832063674927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4935246706008911},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.48594963550567627},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.472996324300766},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4516647160053253},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4430099129676819},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43752917647361755},{"id":"https://openalex.org/keywords/bar","display_name":"Bar (unit)","score":0.42041927576065063},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4150470495223999},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24186217784881592}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7379565238952637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7313500642776489},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6151400208473206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6029283404350281},{"id":"https://openalex.org/C44042526","wikidata":"https://www.wikidata.org/wiki/Q1355183","display_name":"Crowd psychology","level":2,"score":0.5700024962425232},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5455313920974731},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5043832063674927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4935246706008911},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.48594963550567627},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.472996324300766},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4516647160053253},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4430099129676819},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43752917647361755},{"id":"https://openalex.org/C188721877","wikidata":"https://www.wikidata.org/wiki/Q103510","display_name":"Bar (unit)","level":2,"score":0.42041927576065063},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4150470495223999},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24186217784881592},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2005.1545205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2005.1545205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE/RSJ International Conference on Intelligent Robots and Systems","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":15,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W2108525784","https://openalex.org/W2114701396","https://openalex.org/W2118859514","https://openalex.org/W2122190623","https://openalex.org/W2125263419","https://openalex.org/W2148694408","https://openalex.org/W2149535251","https://openalex.org/W2153791717","https://openalex.org/W2164228512","https://openalex.org/W3144619878","https://openalex.org/W4292023222","https://openalex.org/W6678288403","https://openalex.org/W6681907573","https://openalex.org/W6684176346"],"related_works":["https://openalex.org/W4247543202","https://openalex.org/W4243456421","https://openalex.org/W2417397217","https://openalex.org/W2355857550","https://openalex.org/W3093256375","https://openalex.org/W1841421040","https://openalex.org/W2896815346","https://openalex.org/W3028882978","https://openalex.org/W3020509789","https://openalex.org/W2072422962"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,19,71,98,112,115,120],"real-time":[4],"video":[5],"surveillance":[6],"system":[7],"which":[8],"detects":[9],"human":[10,38,72,89,140],"abnormal":[11,90,141],"behaviors.":[12,39,142],"We":[13],"present":[14],"two":[15,131],"approaches":[16],"to":[17,61],"such":[18,92],"problem.":[20],"The":[21,40,55],"first":[22],"one":[23],"employs":[24],"principal":[25],"component":[26],"analysis":[27],"for":[28,35,68,86],"feature":[29,42],"selection":[30,43],"and":[31,118,136],"support":[32],"vector":[33],"machine":[34],"classification":[36],"of":[37,51,65],"proposed":[41,133],"method":[44],"is":[45,74],"based":[46],"on":[47],"the":[48,63,88,125,130],"border":[49],"information":[50],"four":[52],"consecutive":[53],"blobs.":[54],"second":[56],"approach":[57],"computes":[58],"optical":[59],"flow":[60],"obtain":[62],"velocity":[64],"each":[66],"pixel":[67],"determining":[69],"whether":[70],"behavior":[73],"normal":[75],"or":[76,109],"not.":[77],"Both":[78],"algorithms":[79],"are":[80,107,134],"successfully":[81],"implemented":[82],"in":[83,97,124,138],"crowded":[84,99],"environments":[85],"detecting":[87,139],"behaviors,":[91],"as":[93],"(1)":[94],"running":[95],"people":[96],"environment,":[100],"(2)":[101],"bending":[102],"down":[103],"movement":[104],"while":[105],"most":[106],"walking":[108],"standing,":[110],"(3)":[111],"person":[113,121],"carrying":[114],"long":[116],"bar":[117],"(4)":[119],"waving":[122],"hand":[123],"crowd.":[126],"Experimental":[127],"results":[128],"demonstrate":[129],"methods":[132],"robust":[135],"efficient":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
