{"id":"https://openalex.org/W2117609731","doi":"https://doi.org/10.1109/icip.2005.1530341","title":"Gaussian mixture classification for moving object detection in video surveillance environment","display_name":"Gaussian mixture classification for moving object detection in video surveillance environment","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2117609731","doi":"https://doi.org/10.1109/icip.2005.1530341","mag":"2117609731"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1530341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"},"type":"preprint","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/A5045597393","display_name":"Lionel Carminati","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"L. Carminati","raw_affiliation_strings":["LaBRI CNRS UMR 5800, Talence, France","LaBRI CNRS UMR, France"],"affiliations":[{"raw_affiliation_string":"LaBRI CNRS UMR 5800, Talence, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142254"]},{"raw_affiliation_string":"LaBRI CNRS UMR, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089758511","display_name":"Jenny Benois\u2010Pineau","orcid":"https://orcid.org/0000-0003-0659-8894"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Benois-Pineau","raw_affiliation_strings":["LaBRI CNRS UMR 5800, Talence, France","LaBRI CNRS UMR, France"],"affiliations":[{"raw_affiliation_string":"LaBRI CNRS UMR 5800, Talence, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142254"]},{"raw_affiliation_string":"LaBRI CNRS UMR, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045597393"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142254"],"apc_list":null,"apc_paid":null,"fwci":0.84919275,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.76018086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"III","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9693999886512756,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8010718822479248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7681098580360413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7590159773826599},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6837625503540039},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.671272337436676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6339606046676636},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.5618473887443542},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5481897592544556},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5246829390525818},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.47859713435173035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46091845631599426},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4258689284324646},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.42283812165260315},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.26200544834136963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15451085567474365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1126812994480133},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08904227614402771},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.07358014583587646}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8010718822479248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7681098580360413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7590159773826599},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6837625503540039},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.671272337436676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6339606046676636},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.5618473887443542},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5481897592544556},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5246829390525818},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.47859713435173035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46091845631599426},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4258689284324646},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.42283812165260315},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.26200544834136963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15451085567474365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1126812994480133},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08904227614402771},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.07358014583587646},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2005.1530341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1573546770","https://openalex.org/W1997063559","https://openalex.org/W2010140249","https://openalex.org/W2020999234","https://openalex.org/W2097350683","https://openalex.org/W2102625004","https://openalex.org/W2114220616","https://openalex.org/W2168766022"],"related_works":["https://openalex.org/W2473373438","https://openalex.org/W2368486525","https://openalex.org/W2077224612","https://openalex.org/W84255947","https://openalex.org/W2153481672","https://openalex.org/W4312864369","https://openalex.org/W2014842417","https://openalex.org/W2891133681","https://openalex.org/W2061347451","https://openalex.org/W1505865477"],"abstract_inverted_index":{"The":[0,17,32,56],"paper":[1],"deals":[2],"with":[3],"detection":[4,18],"of":[5,19,28,34],"moving":[6,20],"objects":[7,21],"by":[8,44],"modelling":[9],"pixel":[10,30,41],"grey":[11],"level":[12],"distribution":[13],"along":[14],"the":[15],"time.":[16],"is":[22,42,51],"based":[23],"on":[24,62],"learning":[25],"and":[26,66],"update":[27],"background":[29],"distributions.":[31],"choice":[33],"appropriate":[35],"mixture's":[36],"component":[37],"for":[38],"a":[39],"given":[40],"performed":[43],"likelihood":[45],"maximization.":[46],"An":[47],"original":[48],"Markov":[49],"regularization":[50],"proposed":[52],"to":[53],"smooth":[54],"detection.":[55],"method":[57],"performs":[58],"in":[59],"real":[60],"time":[61],"CIF":[63],"resolution":[64],"video":[65],"low":[67],"cost":[68],"commercial":[69],"hardware.":[70]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}