{"id":"https://openalex.org/W2153507502","doi":"https://doi.org/10.1109/icme.2004.1394293","title":"Human activity detection and recognition for video surveillance","display_name":"Human activity detection and recognition for video surveillance","publication_year":2005,"publication_date":"2005-03-21","ids":{"openalex":"https://openalex.org/W2153507502","doi":"https://doi.org/10.1109/icme.2004.1394293","mag":"2153507502"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2004.1394293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2004.1394293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)","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/A5043054935","display_name":"Wei Niu","orcid":"https://orcid.org/0000-0002-2697-7042"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Niu","raw_affiliation_strings":["Department of Computer Science, University of California, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054746937","display_name":"Long Jiao","orcid":"https://orcid.org/0000-0003-1644-3765"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiao Long","raw_affiliation_strings":["Department of Computer Science, University of California, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101473341","display_name":"Dan Han","orcid":"https://orcid.org/0000-0001-8939-7435"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Han","raw_affiliation_strings":["Department of Computer Science, University of California, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112604228","display_name":"Yuan-Fang Wang","orcid":"https://orcid.org/0009-0004-8390-0561"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan-Fang Wang","raw_affiliation_strings":["Department of Computer Science, University of California, Santa Barbara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043054935"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":7.4614,"has_fulltext":false,"cited_by_count":180,"citation_normalized_percentile":{"value":0.97670433,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"719","last_page":"722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9991999864578247,"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":0.9984999895095825,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8525024056434631},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.8056933879852295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7734490633010864},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7294862866401672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6960426568984985},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5329153537750244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5327755212783813},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5079429745674133},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4694886803627014},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.45600876212120056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3734343647956848},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.1374102234840393}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8525024056434631},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8056933879852295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7734490633010864},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7294862866401672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6960426568984985},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5329153537750244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5327755212783813},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5079429745674133},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4694886803627014},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.45600876212120056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3734343647956848},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.1374102234840393},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2004.1394293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2004.1394293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.475.406","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.475.406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mirlab.org/conference_papers/International_Conference/ICME 2004/html/papers/P54642.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1506281249","https://openalex.org/W1910898529","https://openalex.org/W2077611006","https://openalex.org/W2127503234","https://openalex.org/W2131598171","https://openalex.org/W2152239535","https://openalex.org/W2161406034","https://openalex.org/W4244486013","https://openalex.org/W6678799223","https://openalex.org/W6682276294"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2294335174","https://openalex.org/W2025614924","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W103069296"],"abstract_inverted_index":{"We":[0,98],"present":[1],"a":[2,70,115],"framework":[3],"for":[4,10],"detecting":[5],"and":[6,24,33,48],"recognizing":[7],"human":[8,60],"activities":[9,61],"outdoor":[11],"video":[12,104],"surveillance":[13,123],"applications.":[14],"Our":[15],"research":[16],"makes":[17],"the":[18,80],"following":[19],"contributions:":[20],"For":[21,51],"activity":[22,52],"detection":[23,42],"tracking,":[25],"we":[26,54],"improve":[27],"robustness":[28],"by":[29],"providing":[30],"intelligent":[31],"control":[32],"fail-over":[34],"mechanisms,":[35],"built":[36],"on":[37,75,79],"top":[38],"of":[39,59,65,72],"low-level":[40],"motion":[41],"algorithms":[43],"such":[44],"as":[45],"frame":[46],"differencing":[47],"feature":[49],"correlation.":[50],"recognition,":[53],"propose":[55],"an":[56],"efficient":[57],"representation":[58],"that":[62],"enables":[63],"recognition":[64],"different":[66],"interaction":[67],"patterns":[68],"among":[69],"group":[71],"people":[73],"based":[74],"simple":[76],"statistics":[77],"computed":[78],"tracked":[81],"trajectories,":[82],"without":[83],"building":[84],"complicated":[85],"Markov":[86,89,95],"chain,":[87],"hidden":[88,94],"models":[90,96],"(HMM),":[91],"or":[92],"coupled":[93],"(CHMM).":[97],"demonstrate":[99],"our":[100],"techniques":[101],"using":[102],"real-world":[103],"data":[105],"to":[106],"automatically":[107],"distinguish":[108],"normal":[109],"behaviors":[110],"from":[111],"suspicious":[112],"ones":[113],"in":[114],"parking":[116],"lot":[117],"setting,":[118],"which":[119],"can":[120],"aid":[121],"security":[122]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
