{"id":"https://openalex.org/W2054610179","doi":"https://doi.org/10.1109/icip.2010.5653897","title":"Enhanced Bayesian foreground segmentation using Brightness and Color Distortion region-based model for shadow removal","display_name":"Enhanced Bayesian foreground segmentation using Brightness and Color Distortion region-based model for shadow removal","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2054610179","doi":"https://doi.org/10.1109/icip.2010.5653897","mag":"2054610179"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5653897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 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/A5017465563","display_name":"Jaime Gallego","orcid":"https://orcid.org/0000-0003-3332-619X"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jaime Gallego","raw_affiliation_strings":["Technical University of Catalonia(UPC), Spain","Technical University of Catalonia UPC, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Catalonia(UPC), Spain","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Technical University of Catalonia UPC, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016194141","display_name":"Montse Pard\u00e0s","orcid":"https://orcid.org/0000-0002-5861-6356"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Montse Pardas","raw_affiliation_strings":["Technical University of Catalonia(UPC), Spain","Technical University of Catalonia UPC, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Catalonia(UPC), Spain","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Technical University of Catalonia UPC, Spain","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6145,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84769592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3449","last_page":"3452"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.993399977684021,"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":0.987500011920929,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.848322868347168},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7573053240776062},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.7173250913619995},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.7084954977035522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7015427947044373},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5921908617019653},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5621767044067383},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5551987886428833},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5221931338310242},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.5115255117416382},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.43265366554260254},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41534504294395447},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3413371741771698},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29615068435668945},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.2897615432739258},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18755781650543213},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09491294622421265},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08231377601623535}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.848322868347168},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7573053240776062},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.7173250913619995},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7084954977035522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7015427947044373},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5921908617019653},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5621767044067383},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5551987886428833},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5221931338310242},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.5115255117416382},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.43265366554260254},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41534504294395447},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3413371741771698},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29615068435668945},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.2897615432739258},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18755781650543213},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09491294622421265},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08231377601623535},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5653897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1499877760","https://openalex.org/W2008543119","https://openalex.org/W2034928122","https://openalex.org/W2049633694","https://openalex.org/W2122669230","https://openalex.org/W2132559259","https://openalex.org/W2133177457","https://openalex.org/W2138626738","https://openalex.org/W2140235142","https://openalex.org/W2143516773","https://openalex.org/W2162056038","https://openalex.org/W2166978545","https://openalex.org/W3094885158","https://openalex.org/W6629695367","https://openalex.org/W6678465274"],"related_works":["https://openalex.org/W3198104320","https://openalex.org/W3123096349","https://openalex.org/W2044382768","https://openalex.org/W2805159267","https://openalex.org/W2916810246","https://openalex.org/W2407615025","https://openalex.org/W2039176266","https://openalex.org/W4240358042","https://openalex.org/W2051365026","https://openalex.org/W1655795019"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2,80],"we":[3],"present":[4,67],"a":[5,20,41,47],"novel":[6],"foreground":[7,44],"segmentation":[8],"system":[9,86],"for":[10,29,92],"monocular":[11],"static":[12],"camera":[13],"sequences":[14],"and":[15,33,46,60,96,100],"indoor":[16],"scenarios":[17],"that":[18,109],"achieves":[19],"correct":[21],"shadow":[22,34,64,73,93,107],"removal":[23],"via":[24],"global":[25],"MAP-MRF":[26],"framework":[27],"formulation":[28],"the":[30,52,79,82,85,88,106,113,116],"foreground,":[31],"background":[32,49],"classification":[35],"task.":[36],"We":[37],"propose":[38],"to":[39,70],"combine":[40],"region-based":[42],"spatial-color":[43],"model":[45,50,65],"pixel-wise":[48],"in":[51,78],"RGB":[53],"domain":[54],"with":[55],"an":[56],"spatial-Brightness":[57],"Distortion":[58,62],"(BD)":[59],"Color":[61],"(CD)":[63],"which":[66],"specific":[68],"features":[69],"classify":[71],"potential":[72],"regions.":[74],"The":[75],"results":[76],"presented":[77],"show":[81],"improvement":[83],"of":[84,90,112,115],"avoiding":[87],"necessity":[89],"thresholds":[91],"detection":[94],"task":[95],"reducing":[97],"false":[98,101],"positive":[99],"negative":[102],"detections":[103],"originated":[104],"by":[105],"effects":[108],"other":[110],"methods":[111],"state":[114],"art":[117],"present.":[118]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
