{"id":"https://openalex.org/W2107448587","doi":"https://doi.org/10.1109/wiamis.2009.5031489","title":"Video analysis architecture for enhancing pedestrian and driver safety in public environments","display_name":"Video analysis architecture for enhancing pedestrian and driver safety in public environments","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2107448587","doi":"https://doi.org/10.1109/wiamis.2009.5031489","mag":"2107448587"},"language":"en","primary_location":{"id":"doi:10.1109/wiamis.2009.5031489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiamis.2009.5031489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 10th Workshop on Image Analysis for Multimedia Interactive Services","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/A5115053680","display_name":"N\u00faria S\u00e1nchez","orcid":"https://orcid.org/0000-0001-5163-4386"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"N. Sanchez","raw_affiliation_strings":["Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales, E.T.S.I. de Telecomunicaci\u00f3n, Madrid, Spain","Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales. E.T.S.I. de Telecomunicaci\u00f3n., Avda. Complutense, 30. Madrid-28040 (Spain)"],"affiliations":[{"raw_affiliation_string":"Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales, E.T.S.I. de Telecomunicaci\u00f3n, Madrid, Spain","institution_ids":[]},{"raw_affiliation_string":"Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales. E.T.S.I. de Telecomunicaci\u00f3n., Avda. Complutense, 30. Madrid-28040 (Spain)","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090122038","display_name":"Jos\u00e9 Manuel Men\u00e9ndez","orcid":"https://orcid.org/0000-0003-0584-2250"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J.M. Menendez","raw_affiliation_strings":["Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales, E.T.S.I. de Telecomunicaci\u00f3n, Madrid, Spain","Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales. E.T.S.I. de Telecomunicaci\u00f3n., Avda. Complutense, 30. Madrid-28040 (Spain)"],"affiliations":[{"raw_affiliation_string":"Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales, E.T.S.I. de Telecomunicaci\u00f3n, Madrid, Spain","institution_ids":[]},{"raw_affiliation_string":"Grupo de Aplicaci\u00f3n de Telecomunicaciones Visuales. E.T.S.I. de Telecomunicaci\u00f3n., Avda. Complutense, 30. Madrid-28040 (Spain)","institution_ids":["https://openalex.org/I121748325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115053680"],"corresponding_institution_ids":["https://openalex.org/I121748325"],"apc_list":null,"apc_paid":null,"fwci":0.3236,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60699058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"288","last_page":"291"},"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/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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7757607698440552},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6780376434326172},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6675186157226562},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.613896369934082},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6108529567718506},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5952492356300354},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5760105848312378},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5164282917976379},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5046941041946411},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47305551171302795},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.45456770062446594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43947553634643555},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4211842119693756},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4073375463485718},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.38140517473220825},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1289486289024353},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12705272436141968},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.09548807144165039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757607698440552},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6780376434326172},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6675186157226562},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.613896369934082},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6108529567718506},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5952492356300354},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5760105848312378},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5164282917976379},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5046941041946411},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47305551171302795},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.45456770062446594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43947553634643555},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4211842119693756},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4073375463485718},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38140517473220825},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1289486289024353},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12705272436141968},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.09548807144165039},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wiamis.2009.5031489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiamis.2009.5031489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 10th Workshop on Image Analysis for Multimedia Interactive Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1532372219","https://openalex.org/W1592980990","https://openalex.org/W1594523940","https://openalex.org/W2100376711","https://openalex.org/W2112747416","https://openalex.org/W2118143383","https://openalex.org/W2118572719","https://openalex.org/W2125896931","https://openalex.org/W2151103935","https://openalex.org/W2154740476","https://openalex.org/W2165575585","https://openalex.org/W3040777582","https://openalex.org/W3094885158","https://openalex.org/W4241541897","https://openalex.org/W6635494071","https://openalex.org/W6780413204"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W1976827262","https://openalex.org/W49697837","https://openalex.org/W3122828758","https://openalex.org/W4292830139","https://openalex.org/W2965594636","https://openalex.org/W2912550626"],"abstract_inverted_index":{"One":[0],"key":[1],"goal":[2],"of":[3,21,45,51,102,162,182,189],"current":[4],"Computer":[5],"Vision":[6],"research":[7],"activities":[8,144],"is":[9,89,150],"to":[10,40,73,86,122,158,168],"provide":[11],"robust":[12,114],"systems":[13],"for":[14],"improving":[15],"Transport":[16],"safety":[17],"through":[18],"the":[19,35,46,52,84,92,154,160,180,183,187],"use":[20],"Information":[22],"Technology.":[23],"Recent":[24],"advances":[25],"allow":[26],"public":[27],"environments":[28],"(such":[29],"as":[30],"train":[31],"stations":[32],"or,":[33],"simply,":[34],"street)":[36],"under":[37],"video":[38,79,115],"surveillance":[39],"be":[41,71],"modelled":[42],"by":[43],"means":[44],"detection,":[47,129,131],"tracking,":[48],"and":[49,96,132,134,143,174,193],"identification":[50,142],"different":[53],"elements":[54],"in":[55,78,91,100],"it":[56],"(passengers,":[57],"road,":[58],"vehicles,":[59],"pedestrians":[60],"or":[61,164,167],"other":[62],"objects).":[63],"At":[64],"a":[65,113],"higher":[66],"level,":[67],"this":[68],"information":[69],"can":[70],"processed":[72],"detect":[74],"automatically":[75],"dynamic":[76],"events":[77],"sequences,":[80],"which":[81],"will":[82],"help":[83],"system":[85],"understand":[87],"what":[88],"happening":[90],"scene":[93],"being":[94],"analyzed":[95],"launch":[97],"an":[98],"alarm":[99],"case":[101],"any":[103],"anomalous":[104,175],"behaviour":[105,137],"may":[106],"happen.":[107],"In":[108],"our":[109],"work,":[110],"we":[111],"present":[112],"analysis":[116],"architecture,":[117],"at":[118],"two":[119],"levels,":[120],"able":[121],"process":[123],"low":[124],"level":[125,136],"tasks":[126],"(key":[127],"point":[128],"movement":[130],"tracking)":[133],"high":[135],"inference":[138],"(object":[139],"modelling,":[140],"actions":[141],"classification).":[145],"Basic":[146],"image":[147],"processing":[148],"task":[149],"then":[151],"complemented":[152],"with":[153],"required":[155],"intelligence":[156],"either":[157],"accept":[159],"definition":[161],"allowed":[163],"forbidden":[165],"events,":[166],"dynamically":[169],"learn":[170],"about":[171],"usual":[172],"behaviours":[173],"ones.":[176],"Experimental":[177],"results":[178],"demonstrate":[179],"effectiveness":[181],"proposed":[184],"system,":[185],"allowing":[186],"mobility":[188],"users":[190],"become":[191],"more":[192,194],"secure.":[195]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}