{"id":"https://openalex.org/W1970076768","doi":"https://doi.org/10.1109/tmm.2014.2299515","title":"Illumination Robust Video Foreground Prediction Based on Color Recovering","display_name":"Illumination Robust Video Foreground Prediction Based on Color Recovering","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W1970076768","doi":"https://doi.org/10.1109/tmm.2014.2299515","mag":"1970076768"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2014.2299515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2299515","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5101473444","display_name":"Yanli Wan","orcid":"https://orcid.org/0000-0002-7307-2027"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Wan","raw_affiliation_strings":["Institute of System Engineering and Control, Beijing Jiaotong University, Beijing, P. R. China","Inst. of Syst. Eng. & Control, Beijing Jiaotong Univ., Beijing, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of System Engineering and Control, Beijing Jiaotong University, Beijing, P. R. China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Inst. of Syst. Eng. & Control, Beijing Jiaotong Univ., Beijing, , China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111825657","display_name":"Zhenjiang Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjiang Miao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, P. R. China","[Institute of Information Science, Beijing JiaoTong University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, P. R. China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Institute of Information Science, Beijing JiaoTong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363146","display_name":"Xiao\u2013Ping Zhang","orcid":"https://orcid.org/0000-0001-5241-0069"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiao-Ping Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada","[Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada]","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101458063","display_name":"Zhen Tang","orcid":"https://orcid.org/0000-0002-9559-5216"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Tang","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, P. R. China","[Institute of Information Science, Beijing JiaoTong University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, P. R. China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Institute of Information Science, Beijing JiaoTong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100743755","display_name":"Zhifei Wang","orcid":"https://orcid.org/0000-0002-9650-913X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifei Wang","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, P. R. China","[Institute of Information Science, Beijing JiaoTong University, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, P. R. China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"[Institute of Information Science, Beijing JiaoTong University, Beijing, China]","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7278,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.73671184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":"3","first_page":"637","last_page":"652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9991999864578247,"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/T11666","display_name":"Color Science and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8164485692977905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7863502502441406},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7391956448554993},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.6651064157485962},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6308273077011108},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6136302351951599},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5433557629585266},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5399655103683472},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.4878511428833008},{"id":"https://openalex.org/keywords/opacity","display_name":"Opacity","score":0.46748870611190796},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4280741512775421},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35448455810546875},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2721378803253174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8164485692977905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7863502502441406},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7391956448554993},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.6651064157485962},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6308273077011108},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6136302351951599},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5433557629585266},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5399655103683472},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.4878511428833008},{"id":"https://openalex.org/C60056205","wikidata":"https://www.wikidata.org/wiki/Q691914","display_name":"Opacity","level":2,"score":0.46748870611190796},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4280741512775421},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35448455810546875},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2721378803253174},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/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/tmm.2014.2299515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2299515","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1480446886","https://openalex.org/W1481385029","https://openalex.org/W1551741280","https://openalex.org/W1859563015","https://openalex.org/W1967268147","https://openalex.org/W1968799614","https://openalex.org/W1975862670","https://openalex.org/W2013964555","https://openalex.org/W2015691190","https://openalex.org/W2022956861","https://openalex.org/W2027480687","https://openalex.org/W2035773017","https://openalex.org/W2102354443","https://openalex.org/W2102840968","https://openalex.org/W2105466713","https://openalex.org/W2117435890","https://openalex.org/W2119958126","https://openalex.org/W2125480112","https://openalex.org/W2125637308","https://openalex.org/W2126369166","https://openalex.org/W2134839354","https://openalex.org/W2139749832","https://openalex.org/W2142651109","https://openalex.org/W2143205425","https://openalex.org/W2143425433","https://openalex.org/W2146402877","https://openalex.org/W2149623758","https://openalex.org/W2152356964","https://openalex.org/W2154118576","https://openalex.org/W2160956336","https://openalex.org/W2167403746","https://openalex.org/W2168254109","https://openalex.org/W2169040970","https://openalex.org/W2201561931","https://openalex.org/W2244837655","https://openalex.org/W2541841995","https://openalex.org/W2997945685","https://openalex.org/W4240129525","https://openalex.org/W6628680167","https://openalex.org/W6632965254","https://openalex.org/W6639086677","https://openalex.org/W6678827375","https://openalex.org/W6680808729","https://openalex.org/W6682363980","https://openalex.org/W6685125328","https://openalex.org/W6729140141"],"related_works":["https://openalex.org/W2105103921","https://openalex.org/W2028059897","https://openalex.org/W2086414697","https://openalex.org/W2012314832","https://openalex.org/W2953123162","https://openalex.org/W2188430267","https://openalex.org/W4298195641","https://openalex.org/W3010714307","https://openalex.org/W1484372434","https://openalex.org/W1973030300"],"abstract_inverted_index":{"Video":[0],"foreground":[1,14,21,29,47,65,134],"prediction":[2,30,66,135],"is":[3,68,75],"a":[4,20,61],"technique":[5],"to":[6],"estimate":[7],"the":[8,35,50,82,103,107,117,132],"probability":[9],"of":[10,24,106],"each":[11],"pixel":[12],"being":[13],"in":[15],"current":[16],"frame":[17],"based":[18,70,77],"on":[19,71,78],"segmentation":[22],"result":[23],"its":[25],"previous":[26],"frame.":[27],"Existing":[28],"algorithms":[31],"usually":[32],"assume":[33],"that":[34,81,116],"illumination":[36,51,83,108,128],"conditions":[37],"are":[38,85],"constant":[39],"for":[40,125],"consecutive":[41],"frames.":[42,57],"Therefore,":[43],"they":[44],"cannot":[45],"predict":[46],"accurately":[48],"when":[49],"condition":[52],"changes":[53,84,109,129],"sharply":[54],"between":[55],"video":[56,64],"In":[58],"this":[59],"paper,":[60],"new":[62],"robust":[63],"algorithm":[67,97,119],"proposed":[69,118],"color":[72,90],"recovering,":[73],"which":[74],"derived":[76],"an":[79,93,99],"observation":[80],"locally":[86],"smooth.":[87],"By":[88],"integrating":[89],"recovering":[91],"with":[92,127,131],"optical":[94],"flow":[95],"estimation":[96],"and":[98],"opacity":[100],"propagation":[101],"algorithm,":[102],"negative":[104],"impact":[105],"could":[110],"be":[111],"removed.":[112],"Experimental":[113],"results":[114,124],"show":[115],"can":[120],"get":[121],"more":[122],"accurate":[123],"videos":[126],"compared":[130],"existing":[133],"algorithms.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}