{"id":"https://openalex.org/W2156570977","doi":"https://doi.org/10.1109/cvpr.2008.4587541","title":"An integrated background model for video surveillance based on primal sketch and 3D scene geometry","display_name":"An integrated background model for video surveillance based on primal sketch and 3D scene geometry","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2156570977","doi":"https://doi.org/10.1109/cvpr.2008.4587541","mag":"2156570977"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5101505071","display_name":"Wenze Hu","orcid":"https://orcid.org/0000-0001-5516-7092"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenze Hu","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045467749","display_name":"Haifeng Gong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haifeng Gong","raw_affiliation_strings":["Department of Statistics, UCLA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, UCLA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034228010","display_name":"Song\u2010Chun Zhu","orcid":"https://orcid.org/0000-0002-1925-5973"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song-Chun Zhu","raw_affiliation_strings":["Department of Statistics, UCLA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, UCLA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083388669","display_name":"Yontian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yontian Wang","raw_affiliation_strings":["School of Computer Science, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.905,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94170365,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"8"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9973999857902527,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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-vision","display_name":"Computer vision","score":0.8251959085464478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.773744523525238},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.7707170248031616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.717880129814148},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4852904975414276},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4497305750846863},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44970935583114624},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4460921883583069},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42265844345092773},{"id":"https://openalex.org/keywords/image-plane","display_name":"Image plane","score":0.4196379780769348},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4166207015514374},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38133004307746887},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22504103183746338},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09448960423469543}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8251959085464478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.773744523525238},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7707170248031616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.717880129814148},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4852904975414276},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4497305750846863},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44970935583114624},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4460921883583069},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42265844345092773},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.4196379780769348},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4166207015514374},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38133004307746887},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22504103183746338},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09448960423469543},{"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},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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":3,"locations":[{"id":"doi:10.1109/cvpr.2008.4587541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.157.6047","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.6047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.ucla.edu/~sczhu/papers/Conf_2008/CVPR08_surveillance.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.409.4143","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.4143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/201.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W128019999","https://openalex.org/W1525166275","https://openalex.org/W1573546770","https://openalex.org/W1693345094","https://openalex.org/W1837251330","https://openalex.org/W1995903777","https://openalex.org/W2010363308","https://openalex.org/W2016166826","https://openalex.org/W2052961007","https://openalex.org/W2079241389","https://openalex.org/W2092598265","https://openalex.org/W2097512404","https://openalex.org/W2098305432","https://openalex.org/W2102625004","https://openalex.org/W2103922573","https://openalex.org/W2111151479","https://openalex.org/W2118143383","https://openalex.org/W2125310925","https://openalex.org/W2129597587","https://openalex.org/W2130293653","https://openalex.org/W2140235142","https://openalex.org/W2146352414","https://openalex.org/W2149070968","https://openalex.org/W2166761907","https://openalex.org/W2169282240","https://openalex.org/W2170865122","https://openalex.org/W2395887112","https://openalex.org/W2532535446","https://openalex.org/W4241222664","https://openalex.org/W4248936881","https://openalex.org/W6634202927","https://openalex.org/W6637369054","https://openalex.org/W6638569304","https://openalex.org/W6681508479","https://openalex.org/W6681734982","https://openalex.org/W6712111857"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W1494563618","https://openalex.org/W2357022711","https://openalex.org/W3206716821"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,14],"novel":[4],"integrated":[5,156],"background":[6,42,112],"model":[7,12,39],"for":[8,18,121],"video":[9,157],"surveillance.":[10],"Our":[11],"uses":[13],"primal":[15,37],"sketch":[16,38],"representation":[17],"image":[19,43,66],"appearance":[20],"and":[21,30,52,68,75,90,98,127,132,154,163],"3D":[22,88],"scene":[23],"geometry":[24],"to":[25,94,103],"capture":[26],"the":[27,34,41,73,87,96,110,146,155,161],"ground":[28],"plane":[29],"major":[31],"surfaces":[32],"in":[33,86],"scene.":[35],"The":[36,54],"divides":[40],"into":[44],"three":[45,55],"types":[46,56],"of":[47,57,64,100,129,148],"regions":[48,58],"-":[49],"flat,":[50],"sketchable":[51],"textured.":[53],"are":[59],"modeled":[60],"respectively":[61],"by":[62],"mixture":[63],"Gaussians,":[65],"primitives":[67],"LBP":[69],"histograms.":[70],"We":[71],"calibrate":[72],"camera":[74,133],"recover":[76],"important":[77],"planes":[78],"such":[79],"as":[80],"ground,":[81],"horizontal":[82],"surfaces,":[83],"walls,":[84],"stairs":[85],"scene,":[89],"use":[91],"geometric":[92],"information":[93],"predict":[95],"sizes":[97],"locations":[99],"foreground":[101],"blobs":[102],"further":[104],"reduce":[105],"false":[106],"alarms.":[107],"Compared":[108],"with":[109],"state-of-the-art":[111],"modeling":[113],"methods,":[114],"our":[115,143],"approach":[116,144],"is":[117],"more":[118],"effective,":[119],"especially":[120],"indoor":[122],"scenes":[123],"where":[124],"shadows,":[125],"highlights":[126],"reflections":[128],"moving":[130],"objects":[131],"exposure":[134],"adjusting":[135],"usually":[136],"cause":[137],"problems.":[138],"Experiment":[139],"results":[140],"demonstrate":[141],"that":[142],"improves":[145],"performance":[147],"background/foreground":[149],"separation":[150],"at":[151,160],"pixel":[152],"level,":[153],"surveillance":[158],"system":[159],"object":[162],"trajectory":[164],"level.":[165]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}