{"id":"https://openalex.org/W2164417971","doi":"https://doi.org/10.1109/avss.2007.4425366","title":"A fast algorithm for adaptive background model construction using parzen density estimation","display_name":"A fast algorithm for adaptive background model construction using parzen density estimation","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2164417971","doi":"https://doi.org/10.1109/avss.2007.4425366","mag":"2164417971"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2007.4425366","doi":"https://doi.org/10.1109/avss.2007.4425366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2007.4425366","pdf_url":null,"source":{"id":"https://openalex.org/S7407086167","display_name":"IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Conference on Advanced Video and Signal Based Surveillance","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5020012604","display_name":"Tatsuya Tanaka","orcid":"https://orcid.org/0000-0002-9224-0233","observed_orcids":["https://orcid.org/0000-0002-9224-0233"]},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Tanaka","raw_affiliation_strings":["Department of Intelligent Systems, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046057343","display_name":"Atsushi Shimada","orcid":"https://orcid.org/0000-0002-3635-9336","observed_orcids":["https://orcid.org/0000-0002-3635-9336"]},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Shimada","raw_affiliation_strings":["Department of Intelligent Systems, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000967732","display_name":"Daisaku Arita","orcid":"https://orcid.org/0000-0002-2138-6796","observed_orcids":["https://orcid.org/0000-0002-2138-6796"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daisaku Arita","raw_affiliation_strings":["Institute of Systems & Information, Technologies/KYUSHU, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Systems & Information, Technologies/KYUSHU, Fukuoka, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027160863","display_name":"Rin\u2010ichiro Taniguchi","orcid":"https://orcid.org/0000-0002-2588-6894","observed_orcids":["https://orcid.org/0000-0002-2588-6894"]},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rin-ichiro Taniguchi","raw_affiliation_strings":["Department of Intelligent Systems, Kyushu University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Systems, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6667,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.96358382,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"111","issue":null,"first_page":"528","last_page":"533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9990000128746033,"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":0.9990000128746033,"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":9.999999747378752e-05,"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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":0.7009999752044678},{"id":"https://openalex.org/keywords/adaptive-background-model","display_name":"adaptive background model","score":0.8090000152587891},{"id":"https://openalex.org/keywords/parzen-window-density-estimation","display_name":"Parzen window density estimation","score":0.7919999957084656},{"id":"https://openalex.org/keywords/nonparametric-density-estimation","display_name":"nonparametric density estimation","score":0.8429999947547913},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"foreground detection","score":0.7720000147819519},{"id":"https://openalex.org/keywords/pixel-intensity-distribution","display_name":"pixel intensity distribution","score":0.8370000123977661},{"id":"https://openalex.org/keywords/density-estimation","display_name":"density estimation","score":0.8149999976158142},{"id":"https://openalex.org/keywords/computational-cost-reduction","display_name":"computational complexity reduction","score":0.5789999961853027},{"id":"https://openalex.org/keywords/video-surveillance","display_name":"video surveillance","score":0.45899999141693115}],"concepts":[{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.7760859727859497},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6977945566177368},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.69406658411026},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6814378499984741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725835204124451},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.610514223575592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5689912438392639},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5479505062103271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5254772305488586},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5245112180709839},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4971638023853302},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.482311487197876},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.44733014702796936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42796045541763306},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41947007179260254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27756935358047485},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1861911416053772},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.06579262018203735},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2007.4425366","doi":"https://doi.org/10.1109/avss.2007.4425366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2007.4425366","pdf_url":null,"source":{"id":"https://openalex.org/S7407086167","display_name":"IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Conference on Advanced Video and Signal Based Surveillance","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1538130802","https://openalex.org/W1963524043","https://openalex.org/W2063690897","https://openalex.org/W2102625004","https://openalex.org/W2104733578","https://openalex.org/W2118020555","https://openalex.org/W2118143383","https://openalex.org/W2148290050"],"related_works":["https://openalex.org/W2064450869","https://openalex.org/W1591673352","https://openalex.org/W2976580935","https://openalex.org/W7208535759","https://openalex.org/W2356038292","https://openalex.org/W1549748438","https://openalex.org/W2035320570","https://openalex.org/W2046553043","https://openalex.org/W2144212237","https://openalex.org/W2117727537"],"abstract_inverted_index":{"Non-parametric":[0],"representation":[1],"of":[2,24,30,44,50,88,116],"pixel":[3,51],"intensity":[4],"distribution":[5,32],"is":[6,69],"quite":[7],"effective":[8],"to":[9,15,98],"construct":[10],"proper":[11],"background":[12,94],"model":[13,95],"and":[14,57,81],"detect":[16],"foreground":[17,58,105],"objects":[18,106],"accurately.":[19],"However,":[20],"from":[21],"the":[22,27,31,45,63,67,74,78,85,89,93,101,114],"viewpoint":[23],"practical":[25],"application,":[26],"computation":[28,86],"cost":[29,87],"estimation":[33,43,56],"should":[34],"be":[35,108],"reduced.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"present":[41],"fast":[42],"probability":[46],"density":[47,55],"function":[48],"(PDF)":[49],"value":[52],"using":[53],"Parzen":[54],"object":[59],"detection":[60],"based":[61],"on":[62],"estimated":[64,76],"PDF.":[65],"Here,":[66],"PDF":[68,75,90],"computed":[70],"by":[71],"partially":[72],"updating":[73],"at":[77],"previous":[79],"frame,":[80],"it":[82],"greatly":[83],"reduces":[84],"estimation.":[91],"Thus,":[92],"adapts":[96],"quickly":[97],"changes":[99],"in":[100],"scene":[102],"and,":[103],"therefore,":[104],"can":[107],"robustly":[109],"detected.":[110],"Several":[111],"experiments":[112],"show":[113],"effectiveness":[115],"our":[117],"approach.":[118]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}