{"id":"https://openalex.org/W2171165360","doi":"https://doi.org/10.1109/iscas.2005.1465454","title":"Non-Linear Learning Factor Control for Statistical Adaptive Background Subtraction Algorithm","display_name":"Non-Linear Learning Factor Control for Statistical Adaptive Background Subtraction Algorithm","publication_year":2005,"publication_date":"2005-07-27","ids":{"openalex":"https://openalex.org/W2171165360","doi":"https://doi.org/10.1109/iscas.2005.1465454","mag":"2171165360"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2005.1465454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2005.1465454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Symposium on Circuits and Systems","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/A5025855903","display_name":"Thirapiroon Thongkamwitoon","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"T. Thongkamwitoon","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Engineering, Chulalongkom University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Engineering, Chulalongkom University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069698375","display_name":"Supavadee Aramvith","orcid":"https://orcid.org/0000-0001-9840-3171"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"S. Aramvith","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Engineering, Chulalongkom University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Engineering, Chulalongkom University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007614076","display_name":"Thanarat H. Chalidabhongse","orcid":"https://orcid.org/0000-0002-7249-6135"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T.H. Chalidabhongse","raw_affiliation_strings":["Faculty of Information Technology, King Mongkut's Institute of Technology, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, King Mongkut's Institute of Technology, Bangkok, Thailand","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"3785","last_page":"3788"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9580000042915344,"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":0.9573000073432922,"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":0.8742378354072571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7196840047836304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.603870689868927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5535920262336731},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4653272032737732},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.45624130964279175},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44593432545661926},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44324856996536255},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.43765968084335327},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39940735697746277},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3523188829421997},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.11665201187133789}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8742378354072571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7196840047836304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.603870689868927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5535920262336731},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4653272032737732},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.45624130964279175},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44593432545661926},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44324856996536255},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.43765968084335327},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39940735697746277},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3523188829421997},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.11665201187133789},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2005.1465454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2005.1465454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Symposium on Circuits and Systems","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":11,"referenced_works":["https://openalex.org/W174932778","https://openalex.org/W2102625004","https://openalex.org/W2104733578","https://openalex.org/W2114701396","https://openalex.org/W2135959086","https://openalex.org/W2140235142","https://openalex.org/W2148290050","https://openalex.org/W3094885158","https://openalex.org/W4285719527","https://openalex.org/W6675656709","https://openalex.org/W6675965542"],"related_works":["https://openalex.org/W2188430267","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W4244119470","https://openalex.org/W28439884","https://openalex.org/W2753866198","https://openalex.org/W2798919479","https://openalex.org/W1983333094","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"The":[0,76],"background":[1,21,45,58,73,85],"subtraction":[2,74],"algorithm":[3,97],"has":[4],"been":[5],"proven":[6],"to":[7,33,88,102],"be":[8],"a":[9,49,66],"very":[10],"effective":[11],"technique":[12],"for":[13,71],"automated":[14],"video":[15,91],"surveillance":[16],"applications.":[17],"In":[18,61],"statistical":[19],"approach,":[20],"model":[22,28,86],"is":[23,30],"usually":[24],"estimated":[25],"using":[26],"Gaussian":[27],"and":[29],"adaptively":[31,78],"updated":[32],"deal":[34],"with":[35],"changes":[36],"in":[37,84,90],"dynamic":[38],"scene":[39],"environment.":[40],"However,":[41],"most":[42],"algorithms":[43],"update":[44],"parameters":[46],"linearly.":[47],"As":[48],"result,":[50],"the":[51,80,96],"classification":[52,99],"results":[53,94],"are":[54],"erroneous":[55],"when":[56],"performing":[57],"convergence":[59],"process.":[60],"this":[62],"paper,":[63],"we":[64],"present":[65],"novel":[67],"learning":[68],"factor":[69],"control":[70],"adaptive":[72],"algorithm.":[75],"method":[77],"adjusts":[79],"rate":[81],"of":[82],"adaptation":[83],"corresponding":[87],"events":[89],"sequence.":[92],"Experimental":[93],"show":[95],"improves":[98],"accuracy":[100],"compared":[101],"other":[103],"known":[104],"methods.":[105]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}