{"id":"https://openalex.org/W2136667257","doi":"https://doi.org/10.1109/icip.2007.4379761","title":"Background Subtraction using Incremental Subspace Learning","display_name":"Background Subtraction using Incremental Subspace Learning","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2136667257","doi":"https://doi.org/10.1109/icip.2007.4379761","mag":"2136667257"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5100364430","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0002-2248-3328"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Wang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","[Tsinghua University, Beijing]"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Tsinghua University, Beijing]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435848","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0961-0441"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","[Tsinghua University, Beijing]"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Tsinghua University, Beijing]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003031253","display_name":"Ming Wen","orcid":"https://orcid.org/0000-0001-5588-9618"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Wen","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","[Tsinghua University, Beijing]"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Tsinghua University, Beijing]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102917330","display_name":"Qing Zhuo","orcid":"https://orcid.org/0000-0002-9640-352X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhuo","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","[Tsinghua University, Beijing]"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Tsinghua University, Beijing]","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341745","display_name":"Wenyuan Wang","orcid":"https://orcid.org/0000-0001-8765-6675"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyuan Wang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","[Tsinghua University, Beijing]"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"[Tsinghua University, Beijing]","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100364430"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.9213,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.91733151,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"V ","last_page":" 45"},"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":0.996399998664856,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9563521146774292},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.8237251043319702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7280120849609375},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.6530246734619141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6438990831375122},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6048038005828857},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5371661186218262},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5112907886505127},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.5006721019744873},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4881506562232971},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.46890297532081604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4159734845161438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1591423749923706},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.1380084753036499}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.9563521146774292},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8237251043319702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7280120849609375},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.6530246734619141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6438990831375122},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6048038005828857},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5371661186218262},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5112907886505127},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.5006721019744873},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4881506562232971},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.46890297532081604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4159734845161438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1591423749923706},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.1380084753036499},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2007.4379761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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":7,"referenced_works":["https://openalex.org/W1603657930","https://openalex.org/W2102625004","https://openalex.org/W2108525784","https://openalex.org/W2115213191","https://openalex.org/W2122423951","https://openalex.org/W2140235142","https://openalex.org/W4255802862"],"related_works":["https://openalex.org/W2105103921","https://openalex.org/W2086414697","https://openalex.org/W1999137714","https://openalex.org/W2953123162","https://openalex.org/W2188430267","https://openalex.org/W4298195641","https://openalex.org/W2110416663","https://openalex.org/W3010714307","https://openalex.org/W2355776095","https://openalex.org/W1973030300"],"abstract_inverted_index":{"Background":[0],"modeling":[1,40],"and":[2,12,27,37,41,62,99],"subtraction":[3,42],"is":[4,65,77,93],"a":[5,18,54,69],"basic":[6],"component":[7],"of":[8,24,106],"many":[9],"computer":[10],"vision":[11],"video":[13],"analysis":[14],"applications.":[15],"It":[16],"has":[17],"critical":[19],"impact":[20],"on":[21],"the":[22,60,63,82,90,97],"performance":[23],"object":[25],"tracking":[26],"activity":[28],"analysis.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"propose":[34],"an":[35],"effective":[36],"adaptive":[38],"background":[39,61,98,107],"approach":[43,52,92],"that":[44,89],"can":[45],"deal":[46],"with":[47,68,109],"dynamic":[48],"scenes.":[49],"The":[50],"proposed":[51,91],"uses":[53],"subspace":[55,64],"learning":[56],"method":[57],"to":[58,80,95,111],"model":[59,76,96],"updated":[66],"on-line":[67],"sequential":[70],"Karhunen-Loeve":[71],"algorithm.":[72],"A":[73],"linear":[74],"prediction":[75],"also":[78],"used":[79],"make":[81],"detection":[83],"more":[84],"robust.":[85],"Experimental":[86],"results":[87],"show":[88],"able":[94],"detect":[100],"moving":[101],"objects":[102],"under":[103],"various":[104],"type":[105],"scenarios":[108],"close":[110],"real-time":[112],"performance.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}