{"id":"https://openalex.org/W2610071666","doi":"https://doi.org/10.1109/icpr.2016.7899621","title":"Scene background estimation based on temporal median filter with Gaussian filtering","display_name":"Scene background estimation based on temporal median filter with Gaussian filtering","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2610071666","doi":"https://doi.org/10.1109/icpr.2016.7899621","mag":"2610071666"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5114949151","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-5756-2264"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Department of Information Engineering, East China Jiaotong University, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, East China Jiaotong University, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080673171","display_name":"Yuanzheng Cai","orcid":"https://orcid.org/0000-0003-1454-4976"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzheng Cai","raw_affiliation_strings":["Department of Computer Science, Minjiang University, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Minjiang University, Fujian, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101444332","display_name":"Miaohui Zhang","orcid":"https://orcid.org/0000-0001-5765-2278"},"institutions":[{"id":"https://openalex.org/I4210155731","display_name":"Jiangxi Academy of Sciences","ror":"https://ror.org/049e1px04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210155731"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaohui Zhang","raw_affiliation_strings":["Jiangxi Academy of Sciences, Institute of Energy, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Academy of Sciences, Institute of Energy, Jiangxi, China","institution_ids":["https://openalex.org/I4210155731"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677515","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-7050-1845"},"institutions":[{"id":"https://openalex.org/I4210155731","display_name":"Jiangxi Academy of Sciences","ror":"https://ror.org/049e1px04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210155731"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Jiangxi Academy of Sciences, Institute of Energy, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Academy of Sciences, Institute of Energy, Jiangxi, China","institution_ids":["https://openalex.org/I4210155731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109092559","display_name":"He-Jin Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155731","display_name":"Jiangxi Academy of Sciences","ror":"https://ror.org/049e1px04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210155731"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hejin Gu","raw_affiliation_strings":["Jiangxi Academy of Sciences, Institute of Energy, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Academy of Sciences, Institute of Energy, Jiangxi, China","institution_ids":["https://openalex.org/I4210155731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8451,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82062928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9948999881744385,"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":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.7763079404830933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7466305494308472},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.697891116142273},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6715311408042908},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6191571950912476},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5142528414726257},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4897291958332062},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.46356141567230225},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4146652817726135},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4138329029083252},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3820056915283203}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763079404830933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7466305494308472},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.697891116142273},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6715311408042908},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6191571950912476},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5142528414726257},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4897291958332062},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.46356141567230225},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4146652817726135},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4138329029083252},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3820056915283203},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W565321738","https://openalex.org/W653074768","https://openalex.org/W1926323357","https://openalex.org/W1988061476","https://openalex.org/W2083978531","https://openalex.org/W2102625004","https://openalex.org/W2117610950","https://openalex.org/W2121274305","https://openalex.org/W2125587358","https://openalex.org/W2140235142","https://openalex.org/W2142251840","https://openalex.org/W2143373691","https://openalex.org/W2160522378","https://openalex.org/W6621597833"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W3036468168","https://openalex.org/W2070318884","https://openalex.org/W2427283480"],"abstract_inverted_index":{"Background":[0],"estimation":[1,26],"can":[2,34,156],"be":[3,35],"regarded":[4],"as":[5,41,106],"a":[6,13,60,83,90,113],"problem":[7],"to":[8,167],"construct":[9],"the":[10,22,28,139,148,153,162],"background":[11,25,65,77,141,171],"from":[12],"series":[14,91],"of":[15,92,127],"video":[16,42,44,93,98,120],"frames":[17],"including":[18],"moving":[19,108],"objects":[20,109],"in":[21,55,97,159],"scene.":[23],"Scene":[24],"is":[27,79,117,130],"essential":[29],"prerequisite,":[30],"or":[31,110],"at":[32],"least":[33],"helpful":[36],"for":[37,49,63,170],"many":[38],"applications":[39],"such":[40],"surveillance,":[43],"segmentation,":[45],"and":[46,133,173],"privacy":[47],"protection":[48],"videos.":[50],"To":[51],"perform":[52],"this":[53,56],"task,":[54],"paper":[57],"we":[58],"propose":[59],"robust":[61],"framework":[62,129],"scene":[64,140],"modelling":[66],"based":[67],"on":[68,119,138,147],"temporal":[69,114,164],"median":[70,115,165],"filter":[71,116,166],"with":[72,82,100,122,161],"Gaussian":[73],"filtering.":[74],"Specifically,":[75],"each":[76],"pixel":[78],"firstly":[80],"modeled":[81],"probability":[84],"density":[85],"function":[86],"(PDF)":[87],"learned":[88],"over":[89],"sequence.":[94],"Then,":[95],"pixels":[96,123],"sequence":[99],"low":[101],"probabilities":[102],"are":[103],"filtered,":[104],"taken":[105],"foreground":[107],"noises.":[111],"Finally,":[112],"employed":[118],"sequence,":[121],"left.":[124],"The":[125],"performance":[126],"our":[128],"evaluated":[131],"visually":[132],"numerically":[134],"using":[135],"different":[136],"metrics":[137],"modeling":[142],"contest":[143],"2016(SBMnet":[144],"2016).":[145],"Results":[146],"SBMnet":[149],"dataset":[150],"indicate":[151],"that":[152],"proposed":[154],"scheme":[155],"improve":[157],"performance,":[158],"comparison":[160],"classic":[163],"some":[168],"extend,":[169],"motion":[172],"clutter.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}