{"id":"https://openalex.org/W2094022616","doi":"https://doi.org/10.1109/icip.2011.6115799","title":"Joint optimization of background subtraction and object detection for night surveillance","display_name":"Joint optimization of background subtraction and object detection for night surveillance","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2094022616","doi":"https://doi.org/10.1109/icip.2011.6115799","mag":"2094022616"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6115799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6115799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th 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/A5114778063","display_name":"Congcong Li","orcid":"https://orcid.org/0009-0005-4170-5706"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Congcong Li","raw_affiliation_strings":["Cornell University, USA","Cornell University,USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Cornell University,USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031029397","display_name":"Chih\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-5813-5467"},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Wei Lin","raw_affiliation_strings":["Industrial Technology and Research Institute, Taiwan","Industrial Technology Research Institute, Taiwan"],"affiliations":[{"raw_affiliation_string":"Industrial Technology and Research Institute, Taiwan","institution_ids":["https://openalex.org/I4210148468"]},{"raw_affiliation_string":"Industrial Technology Research Institute, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108221312","display_name":"Shiaw-Shian Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shiaw-Shian Yu","raw_affiliation_strings":["Industrial Technology and Research Institute, Taiwan","Industrial Technology Research Institute, Taiwan"],"affiliations":[{"raw_affiliation_string":"Industrial Technology and Research Institute, Taiwan","institution_ids":["https://openalex.org/I4210148468"]},{"raw_affiliation_string":"Industrial Technology Research Institute, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000454484","display_name":"Tsuhan Chen","orcid":"https://orcid.org/0000-0003-3951-7931"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tsuhan Chen","raw_affiliation_strings":["Cornell University, USA","Cornell University,USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Cornell University,USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114778063"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.2607,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59218923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"1753","last_page":"1756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8639334440231323},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7340476512908936},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.694892168045044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6791629195213318},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6080575585365295},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.572573184967041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5433346629142761},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2345285415649414},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11682361364364624},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.0720691978931427}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.8639334440231323},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7340476512908936},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.694892168045044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6791629195213318},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6080575585365295},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.572573184967041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5433346629142761},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2345285415649414},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11682361364364624},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0720691978931427},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2011.6115799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6115799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/146148","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/146148","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.650.5775","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.650.5775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://chenlab.ece.cornell.edu/people/congcong/publications/ICIP2011_feccm.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2049633694","https://openalex.org/W2077654318","https://openalex.org/W2079241389","https://openalex.org/W2098305432","https://openalex.org/W2102625004","https://openalex.org/W2116445618","https://openalex.org/W2120419212","https://openalex.org/W2156570977","https://openalex.org/W2161969291","https://openalex.org/W2170341160","https://openalex.org/W2186094539","https://openalex.org/W2538251352","https://openalex.org/W6677695560","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2554449009","https://openalex.org/W2730449274","https://openalex.org/W2016242113","https://openalex.org/W3177406559","https://openalex.org/W2547934522","https://openalex.org/W1987287817","https://openalex.org/W2123129869","https://openalex.org/W3094443322","https://openalex.org/W3031536623","https://openalex.org/W4399575711"],"abstract_inverted_index":{"Detecting":[0],"foreground":[1],"objects":[2],"for":[3,20,101],"night":[4,34],"surveillance":[5],"videos":[6],"remains":[7],"a":[8,68,92,106,129,135],"challenging":[9],"problem":[10],"in":[11,33],"scene":[12],"understanding.":[13],"Though":[14],"many":[15],"efforts":[16],"have":[17],"been":[18],"made":[19],"robust":[21,25],"background":[22,83,131],"subtraction":[23,84,132],"and":[24,55,86,134],"object":[26,88,137],"detection":[27,89,138],"respectively,":[28],"the":[29,82,87,102,110,119,125],"complex":[30],"illumination":[31],"condition":[32],"scenes":[35],"makes":[36],"it":[37],"hard":[38],"to":[39,59,80],"solve":[40],"each":[41,61,99],"of":[42,112,118],"these":[43,50],"tasks":[44,52],"individually.":[45],"In":[46,63],"practice,":[47],"we":[48,66],"see":[49],"two":[51],"are":[53],"coupled":[54],"can":[56],"be":[57],"combined":[58],"help":[60],"other.":[62],"this":[64],"work,":[65],"apply":[67],"recently":[69],"proposed":[70,96,126],"algorithm":[71],"-":[72,79],"Feedback":[73],"Enabled":[74],"Cascaded":[75],"Classification":[76],"Models":[77],"(FECCM)":[78],"combine":[81],"task":[85,90,104],"into":[91],"generic":[93],"framework.":[94],"The":[95],"framework":[97],"treats":[98],"classifier":[100],"respective":[103],"as":[105,116],"`black-box',":[107],"thus":[108],"allows":[109],"usage":[111],"most":[113],"existing":[114],"algorithms":[115],"one":[117],"classifiers.":[120],"Experiment":[121],"results":[122],"show":[123],"that":[124],"method":[127,133],"outperforms":[128],"state-of-the-art":[130,136],"method.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}