{"id":"https://openalex.org/W2921055160","doi":"https://doi.org/10.23919/apsipa.2018.8659678","title":"Retinex Foreground Segmentation for Low Light Environments","display_name":"Retinex Foreground Segmentation for Low Light Environments","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2921055160","doi":"https://doi.org/10.23919/apsipa.2018.8659678","mag":"2921055160"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659678","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5101506534","display_name":"Yuuki Tanaka","orcid":"https://orcid.org/0000-0003-1087-3940"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuuki Tanaka","raw_affiliation_strings":["Tokyo Metropolitan University, Hino-shi, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Hino-shi, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100863097","display_name":"Yoshihiro Yamashita","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshihiro Yamashita","raw_affiliation_strings":["Tokyo Metropolitan University, Hino-shi, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Hino-shi, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103076466","display_name":"Kiyoshi Nishikawa","orcid":"https://orcid.org/0009-0006-3851-8472"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoshi Nishikawa","raw_affiliation_strings":["Tokyo Metropolitan University, Hino-shi, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Hino-shi, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056005443","display_name":"Toru Yamaguchi","orcid":"https://orcid.org/0000-0002-7183-7209"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Yamaguchi","raw_affiliation_strings":["Tokyo Metropolitan University, Hino-shi, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Hino-shi, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103470713","display_name":"Takao Nishitani","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takao Nishitani","raw_affiliation_strings":["Tokyo Metropolitan University, Hino-shi, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Hino-shi, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101506534"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19255214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"290"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9969000220298767,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9713000059127808,"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":0.8306248784065247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7960081100463867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.793111264705658},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7365183234214783},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.6912916302680969},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5661661028862},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5345951914787292},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.42654576897621155},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.42266660928726196},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.41311895847320557},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26908862590789795}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8306248784065247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7960081100463867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.793111264705658},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7365183234214783},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.6912916302680969},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5661661028862},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5345951914787292},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.42654576897621155},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42266660928726196},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.41311895847320557},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26908862590789795},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659678","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1997794598","https://openalex.org/W2030220989","https://openalex.org/W2060488209","https://openalex.org/W2081647510","https://openalex.org/W2087671401","https://openalex.org/W2102625004","https://openalex.org/W2121900453","https://openalex.org/W2140510732","https://openalex.org/W2146779104","https://openalex.org/W2159549470","https://openalex.org/W2576942095"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2537963312","https://openalex.org/W4237735386","https://openalex.org/W2537762514","https://openalex.org/W2349788282","https://openalex.org/W577271088","https://openalex.org/W2120801881","https://openalex.org/W1982853263","https://openalex.org/W1974473538","https://openalex.org/W2020010749"],"abstract_inverted_index":{"In":[0,46,100],"this":[1,47,101],"paper,":[2,102],"we":[3,108,125],"consider":[4,109],"a":[5,33,40],"method":[6,84],"for":[7,39],"improving":[8],"the":[9,12,17,28,52,55,59,64,68,72,76,82,91,97,105,111,116,127,130],"accuracy":[10],"of":[11,78,81,94,129],"foreground":[13,30,98],"segmentation":[14,31,79,106],"based":[15,114],"on":[16,63,115],"Gaussian":[18],"mixture":[19],"model":[20],"(GMM)":[21],"under":[22],"low":[23,73],"light":[24,74],"environments.":[25],"We":[26],"utilize":[27],"GMM":[29,83],"in":[32,71,96],"system":[34],"which":[35],"enables":[36],"fingertip":[37,56],"gesture-input":[38],"wearable":[41],"device":[42,53],"equipped":[43],"with":[44,54],"camera.":[45],"system,":[48],"one":[49],"can":[50],"operate":[51],"by":[57],"tapping":[58],"icons":[60],"virtually":[61],"projected":[62],"space":[65],"displayed":[66],"through":[67],"glasses.":[69],"However,":[70],"environments,":[75],"number":[77],"errors":[80],"would":[85],"tend":[86],"to":[87,90,103],"increase":[88],"due":[89],"narrower":[92],"range":[93],"change":[95],"region.":[99],"reduce":[104],"errors,":[107],"applying":[110],"image":[112],"enhancement":[113],"Retinex":[117],"theory.":[118],"Using":[119],"an":[120],"actually":[121],"captured":[122],"video":[123],"sequence,":[124],"examine":[126],"effect":[128],"proposed":[131],"method.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
