{"id":"https://openalex.org/W2905557787","doi":"https://doi.org/10.1109/gcce.2018.8574717","title":"GLABM: Gamma Corrected Layered Adaptive Background Model for Outdoor Scenes","display_name":"GLABM: Gamma Corrected Layered Adaptive Background Model for Outdoor Scenes","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2905557787","doi":"https://doi.org/10.1109/gcce.2018.8574717","mag":"2905557787"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2018.8574717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","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/A5033593781","display_name":"Kousuke Sakamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kousuke Sakamoto","raw_affiliation_strings":["Cross-Informatics Research Center, Tottori University Koyama-minami 4-101, Tottori, Tottori, Japan"],"affiliations":[{"raw_affiliation_string":"Cross-Informatics Research Center, Tottori University Koyama-minami 4-101, Tottori, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102257024","display_name":"Hiroki Yoshimura","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Yoshimura","raw_affiliation_strings":["Cross-Informatics Research Center, Tottori University Koyama-minami 4-101, Tottori, Tottori, Japan"],"affiliations":[{"raw_affiliation_string":"Cross-Informatics Research Center, Tottori University Koyama-minami 4-101, Tottori, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054129619","display_name":"Masashi Nishiyama","orcid":"https://orcid.org/0000-0002-5964-3209"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Nishiyama","raw_affiliation_strings":["Cross-Informatics Research Center, Tottori University Koyama-minami 4-101, Tottori, Tottori, Japan"],"affiliations":[{"raw_affiliation_string":"Cross-Informatics Research Center, Tottori University Koyama-minami 4-101, Tottori, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059654927","display_name":"Yoshio Iwai","orcid":"https://orcid.org/0000-0003-2248-4563"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshio Iwai","raw_affiliation_strings":["Cross-Informatics Research Center, Tottori University Koyama-minami 4-101, Tottori, Tottori, Japan"],"affiliations":[{"raw_affiliation_string":"Cross-Informatics Research Center, Tottori University Koyama-minami 4-101, Tottori, Tottori, Japan","institution_ids":["https://openalex.org/I4588055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033593781"],"corresponding_institution_ids":["https://openalex.org/I4588055"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4782299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"iii","issue":null,"first_page":"66","last_page":"67"},"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":0.9947999715805054,"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":0.982699990272522,"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":0.9517412185668945},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7349264621734619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6707144379615784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6661507487297058},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6422569751739502},{"id":"https://openalex.org/keywords/gamma-correction","display_name":"Gamma correction","score":0.6415671110153198},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5684522986412048},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5536155700683594},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5219026207923889},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.42274272441864014},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2484024167060852},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22602400183677673}],"concepts":[{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.9517412185668945},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7349264621734619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6707144379615784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6661507487297058},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6422569751739502},{"id":"https://openalex.org/C17916492","wikidata":"https://www.wikidata.org/wiki/Q1144257","display_name":"Gamma correction","level":3,"score":0.6415671110153198},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5684522986412048},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5536155700683594},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5219026207923889},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.42274272441864014},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2484024167060852},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22602400183677673},{"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/gcce.2018.8574717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4300000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2052524720","https://openalex.org/W2102625004","https://openalex.org/W2112214384","https://openalex.org/W2130293653","https://openalex.org/W2519871715","https://openalex.org/W4248936881","https://openalex.org/W6676949415"],"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/W2058210296","https://openalex.org/W2905557787","https://openalex.org/W2126628453","https://openalex.org/W2016628928","https://openalex.org/W845145369"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,14,52,64],"method":[4,76],"for":[5,28,67],"pixel-based":[6,81],"background":[7,17,29,39,82],"subtraction":[8,83],"with":[9,79],"adaptive":[10,16,38],"gamma":[11,61],"correction":[12],"and":[13,22],"layered":[15],"models":[18],"(LABM).":[19],"Background":[20],"oscillation":[21],"shadow":[23],"removal":[24],"are":[25],"challenging":[26],"problems":[27],"subtraction.":[30],"To":[31],"tackle":[32],"these":[33],"problems,":[34],"we":[35,58],"extend":[36],"the":[37,43,48,60,71,74],"model":[40],"(ABM)":[41],"to":[42],"multi-layered":[44],"models.":[45],"ABM":[46],"has":[47],"disadvantage":[49],"of":[50,73],"assuming":[51],"linear":[53],"RGB":[54],"color":[55],"space,":[56],"so":[57],"implement":[59],"estimation":[62],"as":[63],"preprocessing":[65],"step":[66],"LABM.":[68],"We":[69],"demonstrate":[70],"performance":[72],"proposed":[75],"by":[77],"comparing":[78],"other":[80],"methods.":[84]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}