{"id":"https://openalex.org/W2124052933","doi":"https://doi.org/10.1109/cbmi.2011.5972527","title":"Real-time single-view video event recognition in controlled environments","display_name":"Real-time single-view video event recognition in controlled environments","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2124052933","doi":"https://doi.org/10.1109/cbmi.2011.5972527","mag":"2124052933"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2011.5972527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2011.5972527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)","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/A5025958097","display_name":"Juan C. SanMiguel","orcid":"https://orcid.org/0000-0002-4999-2851"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"J. C. SanMiguel","raw_affiliation_strings":["Video Processing and Understanding Lab Universidad, Aut\u00f3noma of Madrid, Madrid, Spain","Video Processing and Understanding Lab, Universidad Aut\u00f3noma of Madrid - E-28049 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Video Processing and Understanding Lab Universidad, Aut\u00f3noma of Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]},{"raw_affiliation_string":"Video Processing and Understanding Lab, Universidad Aut\u00f3noma of Madrid - E-28049 Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086848513","display_name":"Marcos Escudero-Vi\u00f1olo","orcid":"https://orcid.org/0000-0002-9156-3428"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. Escudero-Vinolo","raw_affiliation_strings":["Video Processing and Understanding Lab Universidad, Aut\u00f3noma of Madrid, Madrid, Spain","Video Processing and Understanding Lab, Universidad Aut\u00f3noma of Madrid - E-28049 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Video Processing and Understanding Lab Universidad, Aut\u00f3noma of Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]},{"raw_affiliation_string":"Video Processing and Understanding Lab, Universidad Aut\u00f3noma of Madrid - E-28049 Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660480","display_name":"Jos\u00e9 M. Mart\u00ednez","orcid":"https://orcid.org/0000-0002-2236-1769"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. M. Martinez","raw_affiliation_strings":["Video Processing and Understanding Lab Universidad, Aut\u00f3noma of Madrid, Madrid, Spain","Video Processing and Understanding Lab, Universidad Aut\u00f3noma of Madrid - E-28049 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Video Processing and Understanding Lab Universidad, Aut\u00f3noma of Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]},{"raw_affiliation_string":"Video Processing and Understanding Lab, Universidad Aut\u00f3noma of Madrid - E-28049 Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042406317","display_name":"Jes\u00fas Besc\u00f3s","orcid":"https://orcid.org/0000-0001-6238-6859"},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Bescos","raw_affiliation_strings":["Video Processing and Understanding Lab Universidad, Aut\u00f3noma of Madrid, Madrid, Spain","Video Processing and Understanding Lab, Universidad Aut\u00f3noma of Madrid - E-28049 Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Video Processing and Understanding Lab Universidad, Aut\u00f3noma of Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]},{"raw_affiliation_string":"Video Processing and Understanding Lab, Universidad Aut\u00f3noma of Madrid - E-28049 Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025958097"],"corresponding_institution_ids":["https://openalex.org/I63634437"],"apc_list":null,"apc_paid":null,"fwci":0.5151,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70186859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"96","issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/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/T11439","display_name":"Video Analysis and Summarization","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8395130634307861},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7215930223464966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7053360939025879},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6390137076377869},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6204776763916016},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5847315788269043},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5670045018196106},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5377300977706909},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5214159488677979},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.47419363260269165},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46608608961105347},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.432951956987381},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4284757971763611},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.42741912603378296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38269147276878357}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395130634307861},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7215930223464966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7053360939025879},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6390137076377869},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6204776763916016},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5847315788269043},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5670045018196106},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5377300977706909},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5214159488677979},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.47419363260269165},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46608608961105347},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.432951956987381},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4284757971763611},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.42741912603378296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38269147276878357},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi.2011.5972527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2011.5972527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1553488197","https://openalex.org/W1977686807","https://openalex.org/W1981609759","https://openalex.org/W2014272325","https://openalex.org/W2020570654","https://openalex.org/W2096989099","https://openalex.org/W2098517267","https://openalex.org/W2100906313","https://openalex.org/W2109347872","https://openalex.org/W2114724217","https://openalex.org/W2120997353","https://openalex.org/W2137981002","https://openalex.org/W2149009242","https://openalex.org/W2149992426","https://openalex.org/W2155268664","https://openalex.org/W2160881085","https://openalex.org/W2168317646","https://openalex.org/W6645842903","https://openalex.org/W6682253092"],"related_works":["https://openalex.org/W1964038743","https://openalex.org/W2204775314","https://openalex.org/W2108579152","https://openalex.org/W695875","https://openalex.org/W2530648058","https://openalex.org/W3128072696","https://openalex.org/W2038391506","https://openalex.org/W2965594636","https://openalex.org/W1941202037","https://openalex.org/W4233612155"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"real-time":[4],"video":[5,83],"event":[6,71],"recognition":[7,38],"system":[8],"for":[9,94],"controlled":[10],"environments.":[11],"It":[12],"is":[13,74],"able":[14],"to":[15,58],"recognize":[16,104],"human":[17],"activities":[18,110],"and":[19,36,53,70,88,111],"interactions":[20],"with":[21,115],"the":[22,25,40,44,60,78],"objects":[23],"of":[24,39,43,48,82,107],"environment":[26],"by":[27],"exploiting":[28],"different":[29,91],"cues":[30],"like":[31],"trajectory":[32],"analysis,":[33],"skin":[34],"detection":[35],"people":[37],"foreground":[41],"blobs":[42],"scene.":[45],"Time":[46],"variations":[47],"these":[49],"features":[50],"are":[51],"studied":[52],"combined":[54],"using":[55],"Bayesian":[56],"inference":[57],"detect":[59],"events.":[61],"Contextual":[62],"information,":[63],"including":[64],"fixed":[65],"objects'":[66],"location,":[67],"object":[68,95],"types":[69],"hierarchical":[72],"definitions,":[73],"formally":[75],"included":[76],"in":[77],"system.":[79],"A":[80],"corpus":[81],"sequences":[84],"has":[85],"been":[86],"designed":[87],"recorded":[89],"considering":[90],"complexity":[92],"levels":[93],"extraction.":[96],"Experimental":[97],"results":[98],"show":[99],"that":[100],"our":[101],"approach":[102],"can":[103],"five":[105],"kinds":[106],"events":[108],"(two":[109],"three":[112],"human-object":[113],"interactions)":[114],"high":[116],"precision":[117],"operating":[118],"at":[119],"real-time.":[120]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}