{"id":"https://openalex.org/W2043709757","doi":"https://doi.org/10.1109/icip.2012.6466819","title":"People-background segmentation with unequal error cost","display_name":"People-background segmentation with unequal error cost","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2043709757","doi":"https://doi.org/10.1109/icip.2012.6466819","mag":"2043709757"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2012.6466819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6466819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","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/A5015024907","display_name":"\u00c1lvaro Garc\u00eda\u2010Mart\u00edn","orcid":"https://orcid.org/0000-0002-1705-3972"},"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":"Alvaro Garcia-Martin","raw_affiliation_strings":["Universidad Aut\u00f3nomna de Madrid, Spain","Universidad Aut\u00f3noma of Madrid (Spain)"],"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3nomna de Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]},{"raw_affiliation_string":"Universidad Aut\u00f3noma of Madrid (Spain)","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004087827","display_name":"Andrea Cavallaro","orcid":"https://orcid.org/0000-0001-5086-7858"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrea Cavallaro","raw_affiliation_strings":["Queen Mary, University of London, UK","Queen Mary Univ. of London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Queen Mary, University of London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary Univ. of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","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":"Jose M. Martinez","raw_affiliation_strings":["Universidad Aut\u00f3nomna de Madrid, Spain","Universidad Aut\u00f3noma of Madrid (Spain)"],"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3nomna de Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]},{"raw_affiliation_string":"Universidad Aut\u00f3noma of Madrid (Spain)","institution_ids":["https://openalex.org/I63634437"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015024907"],"corresponding_institution_ids":["https://openalex.org/I63634437"],"apc_list":null,"apc_paid":null,"fwci":0.2783,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57645532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"160"},"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":0.9993000030517578,"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":0.9969000220298767,"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/segmentation","display_name":"Segmentation","score":0.827520489692688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7640674114227295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7010679244995117},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.6918125748634338},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6603032946586609},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5708678364753723},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4919130802154541},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.444166362285614},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.43668609857559204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41680940985679626},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.22816556692123413}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.827520489692688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7640674114227295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7010679244995117},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.6918125748634338},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6603032946586609},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5708678364753723},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4919130802154541},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.444166362285614},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.43668609857559204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41680940985679626},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.22816556692123413},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2012.6466819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6466819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:www.tdx.cat:10486/667131","is_oa":false,"landing_page_url":"http://hdl.handle.net/10486/667131","pdf_url":null,"source":{"id":"https://openalex.org/S4306401111","display_name":"Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210090028","host_organization_name":"Consorci de Serveis Universitaris de Catalunya","host_organization_lineage":["https://openalex.org/I4210090028"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1511796173","https://openalex.org/W1581274514","https://openalex.org/W1981527711","https://openalex.org/W1987118352","https://openalex.org/W1995444699","https://openalex.org/W2120810826","https://openalex.org/W2131263044","https://openalex.org/W2138302688","https://openalex.org/W2147221461","https://openalex.org/W2148958980","https://openalex.org/W2150298366","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2293873019","https://openalex.org/W3097096317","https://openalex.org/W6634629264","https://openalex.org/W6681951102"],"related_works":["https://openalex.org/W1987287817","https://openalex.org/W2123129869","https://openalex.org/W3094443322","https://openalex.org/W3031536623","https://openalex.org/W4399575711","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709"],"abstract_inverted_index":{"We":[0],"address":[1],"the":[2,20,62,66,97],"problem":[3],"of":[4,11,22,74,99],"segmenting":[5],"a":[6,41,85],"video":[7],"in":[8,81,102],"two":[9],"classes":[10],"different":[12,103],"semantic":[13],"value,":[14],"namely":[15],"background":[16,38,86],"and":[17,77,106,112],"people,":[18],"with":[19,47,109],"goal":[21],"guaranteeing":[23],"that":[24],"no":[25],"people":[26,58],"(or":[27],"body":[28,75],"parts)":[29],"are":[30,39],"classified":[31,36],"as":[32,37,51],"background.":[33],"Body":[34],"parts":[35,76],"given":[40],"higher":[42],"classification":[43],"error":[44],"cost":[45],"(segmentation":[46],"bias":[48],"on":[49,57],"background),":[50],"opposed":[52],"to":[53,83],"traditional":[54],"approaches":[55],"focused":[56],"detection.":[59],"To":[60],"generate":[61],"people-background":[63],"segmentation":[64],"mask,":[65,87],"proposed":[67],"approach":[68],"first":[69],"combines":[70],"detection":[71],"confidence":[72],"maps":[73],"then":[78],"extends":[79],"them":[80],"order":[82],"derive":[84],"which":[88],"is":[89],"finally":[90],"post-processed":[91],"using":[92],"morphological":[93],"operators.":[94],"Experiments":[95],"validate":[96],"performance":[98],"our":[100],"algorithm":[101],"complex":[104],"indoor":[105],"outdoor":[107],"scenes":[108],"both":[110],"static":[111],"moving":[113],"cameras.":[114]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}