{"id":"https://openalex.org/W1967292599","doi":"https://doi.org/10.1109/fskd.2012.6234020","title":"Moving object detection with background subtraction and shadow removal","display_name":"Moving object detection with background subtraction and shadow removal","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W1967292599","doi":"https://doi.org/10.1109/fskd.2012.6234020","mag":"1967292599"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2012.6234020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","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/A5101455056","display_name":"Jianhua Ye","orcid":"https://orcid.org/0000-0002-4545-8598"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Ye","raw_affiliation_strings":["School of Electrical Engineering & Automation, Tianjin University, Tianjin, China","School of Electrical Engineering and Automation, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering & Automation, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical Engineering and Automation, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738070","display_name":"Tao Gao","orcid":"https://orcid.org/0000-0002-6998-7654"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I4210122129","display_name":"Hebei Food Inspection and Research Institute","ror":"https://ror.org/02pxntn72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210122129"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Gao","raw_affiliation_strings":["School of Electrical Engineering & Automation, Tianjin University, Tianjin, China","Hebei Electronic Information Products Supervision and Inspection Institute, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering & Automation, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Hebei Electronic Information Products Supervision and Inspection Institute, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210122129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053843140","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0002-0523-5322"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I4210164386","display_name":"Hebei Science and Technology Department","ror":"https://ror.org/05k812a28","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210164386"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["School of Electrical Engineering & Automation, Tianjin University, Tianjin, China","Industry and Information Technology Department of Hebei Province, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering & Automation, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Industry and Information Technology Department of Hebei Province, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210164386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101455056"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.6473,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84709864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1859","last_page":"1863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11019","display_name":"Image Enhancement Techniques","score":0.9930999875068665,"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":0.9923999905586243,"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/background-subtraction","display_name":"Background subtraction","score":0.866897702217102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7331920862197876},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7317945957183838},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.6794064044952393},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6297641396522522},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.6120481491088867},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.5255616903305054},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5231208205223083},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5222693085670471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.515294075012207},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.4382937252521515},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.407112181186676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3183843493461609},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.2869567573070526},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21987226605415344},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1642465889453888},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15327072143554688}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.866897702217102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7331920862197876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7317945957183838},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.6794064044952393},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6297641396522522},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.6120481491088867},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.5255616903305054},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5231208205223083},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5222693085670471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.515294075012207},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4382937252521515},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.407112181186676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3183843493461609},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2869567573070526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21987226605415344},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1642465889453888},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15327072143554688},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2012.6234020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2012.6234020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1965248072","https://openalex.org/W2010922075","https://openalex.org/W2023151535","https://openalex.org/W2026938603","https://openalex.org/W2096989099","https://openalex.org/W2098305432","https://openalex.org/W2102625004","https://openalex.org/W2143373691","https://openalex.org/W2149354762"],"related_works":["https://openalex.org/W2188430267","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W1575672096","https://openalex.org/W2161219919","https://openalex.org/W4220703605","https://openalex.org/W2123129869","https://openalex.org/W1971021582","https://openalex.org/W3031536623","https://openalex.org/W3094443322"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,29,45],"moving":[4,67],"object":[5],"detection":[6],"method":[7],"with":[8],"background":[9,20,34],"subtraction":[10],"and":[11,36,56,65],"shadow":[12,64],"removal":[13],"in":[14],"the":[15,22,33,37,63,66,73,77],"RGB":[16],"color":[17],"space.":[18],"For":[19],"subtraction,":[21],"metrically":[23],"trimmed":[24],"mean":[25,38],"is":[26,42],"employed":[27],"as":[28,44],"robust":[30],"estimate":[31],"of":[32,76],"model":[35],"absolute":[39],"deviation":[40],"(MAD)":[41],"adopted":[43],"scale":[46],"estimate.":[47],"A":[48],"cascading":[49],"chromaticity":[50],"difference":[51,54],"estimator,":[52,55],"brightness":[53],"spatial":[57],"analysis":[58],"are":[59],"explored":[60],"to":[61],"discriminate":[62],"object.":[68],"Our":[69],"experimental":[70],"results":[71],"validate":[72],"good":[74],"performance":[75],"proposed":[78],"method.":[79]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}