{"id":"https://openalex.org/W2004675356","doi":"https://doi.org/10.1145/1099396.1099410","title":"A multi-criteria model for robust foreground extraction","display_name":"A multi-criteria model for robust foreground extraction","publication_year":2005,"publication_date":"2005-11-11","ids":{"openalex":"https://openalex.org/W2004675356","doi":"https://doi.org/10.1145/1099396.1099410","mag":"2004675356"},"language":"en","primary_location":{"id":"doi:10.1145/1099396.1099410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1099396.1099410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third ACM international workshop on Video surveillance &amp; sensor networks","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091227056","display_name":"A. Homayoun Kamkar-Parsi","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"A. Homayoun Kamkar-Parsi","raw_affiliation_strings":["University of Ottawa, Ottawa, Ontario, Canada","University of Ottawa, Ottawa, Ontario , Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"University of Ottawa, Ottawa, Ontario , Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060353395","display_name":"Robert Lagani\u00e8re","orcid":"https://orcid.org/0000-0001-9475-8151"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert Lagani\u00e8re","raw_affiliation_strings":["University of Ottawa, Ottawa, Ontario, Canada","University of Ottawa, Ottawa, Ontario , Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"University of Ottawa, Ottawa, Ontario , Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082819549","display_name":"Martin Bouchard","orcid":"https://orcid.org/0000-0002-1165-438X"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Martin Bouchard","raw_affiliation_strings":["University of Ottawa, Ottawa, Ontario, Canada","University of Ottawa, Ottawa, Ontario , Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"University of Ottawa, Ottawa, Ontario , Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.14319809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"70"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9750999808311462,"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":0.972100019454956,"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/background-subtraction","display_name":"Background subtraction","score":0.9234237670898438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7521637082099915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7264596819877625},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.719167947769165},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6038699746131897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5982028245925903},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.5588142275810242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4896140694618225},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42518168687820435},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.31095975637435913}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.9234237670898438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7521637082099915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7264596819877625},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.719167947769165},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6038699746131897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5982028245925903},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.5588142275810242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4896140694618225},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42518168687820435},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.31095975637435913},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1099396.1099410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1099396.1099410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third ACM international workshop on Video surveillance &amp; sensor networks","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.420.9454","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.9454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.site.uottawa.ca/~laganier/publications/backgroundVSSN06.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1574517536","https://openalex.org/W1995303293","https://openalex.org/W2111918405","https://openalex.org/W2532535446"],"related_works":["https://openalex.org/W2105103921","https://openalex.org/W2427283480","https://openalex.org/W1999137714","https://openalex.org/W2953123162","https://openalex.org/W2086414697","https://openalex.org/W2188430267","https://openalex.org/W4298195641","https://openalex.org/W2110416663","https://openalex.org/W3010714307","https://openalex.org/W2355776095"],"abstract_inverted_index":{"Numerous":[0],"methods":[1],"are":[2,15],"currently":[3],"available":[4],"for":[5],"motion":[6],"detection":[7],"using":[8],"background":[9,33,45],"modeling":[10],"and":[11,35,66],"subtraction.":[12],"However,":[13],"there":[14],"still":[16],"many":[17],"challenges":[18],"to":[19,71,80],"take":[20],"into":[21],"account":[22],"such":[23],"as":[24],"moving":[25,29,38],"shadows,":[26],"illumination":[27],"changes,":[28],"background,":[30],"relocation":[31],"of":[32,53],"objects,":[34],"initialization":[36],"with":[37],"objects.":[39],"This":[40],"paper":[41],"provides":[42],"a":[43,73],"new":[44],"subtraction":[46],"algorithm":[47],"that":[48,76],"aggregates":[49],"the":[50],"classification":[51],"results":[52],"several":[54],"foreground":[55],"extraction":[56],"techniques":[57],"based":[58],"on":[59],"UV":[60],"color":[61],"deviations,":[62,68],"probabilistic":[63],"gradient":[64],"information":[65],"vector":[67],"in":[69],"order":[70],"produce":[72],"single":[74],"decision":[75],"is":[77],"more":[78],"robust":[79],"those":[81],"challenges.":[82]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
