{"id":"https://openalex.org/W2612344367","doi":"https://doi.org/10.1142/s0219691317500394","title":"An improvement for the foreground recognition method using shadow removal technique for indoor environments","display_name":"An improvement for the foreground recognition method using shadow removal technique for indoor environments","publication_year":2017,"publication_date":"2017-05-07","ids":{"openalex":"https://openalex.org/W2612344367","doi":"https://doi.org/10.1142/s0219691317500394","mag":"2612344367"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691317500394","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691317500394","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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/A5036343089","display_name":"Akmalbek Abdusalomov","orcid":"https://orcid.org/0000-0001-5923-8695"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Akmalbek Abdusalomov","raw_affiliation_strings":["Department of IT Convergence Engineering, Gachon University, Sujeong-Gu, Seongnam-Si, Gyeonggi-Do 461-701, Korea"],"affiliations":[{"raw_affiliation_string":"Department of IT Convergence Engineering, Gachon University, Sujeong-Gu, Seongnam-Si, Gyeonggi-Do 461-701, Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026267523","display_name":"Taeg Keun Whangbo","orcid":"https://orcid.org/0000-0003-1409-0580"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taeg Keun Whangbo","raw_affiliation_strings":["Department of Computer Science, Gachon University, Sujeong-Gu, Seongnam-Si, Gyeonggi-Do 461-701, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Gachon University, Sujeong-Gu, Seongnam-Si, Gyeonggi-Do 461-701, Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036343089"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.62346885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"04","first_page":"1750039","last_page":"1750039"},"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":0.9940999746322632,"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":0.9815000295639038,"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":0.8238638043403625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8131251335144043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8103965520858765},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.7781096696853638},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6647932529449463},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.49747493863105774},{"id":"https://openalex.org/keywords/chromaticity","display_name":"Chromaticity","score":0.4911145865917206},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4543624520301819},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.44921448826789856},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4178411364555359},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3260021209716797}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8238638043403625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8131251335144043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103965520858765},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7781096696853638},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6647932529449463},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.49747493863105774},{"id":"https://openalex.org/C201780734","wikidata":"https://www.wikidata.org/wiki/Q5069880","display_name":"Chromaticity","level":2,"score":0.4911145865917206},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4543624520301819},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44921448826789856},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4178411364555359},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3260021209716797},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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:10.1142/s0219691317500394","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691317500394","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1976363322","https://openalex.org/W2003145026","https://openalex.org/W2008543119","https://openalex.org/W2010435544","https://openalex.org/W2015314905","https://openalex.org/W2035866593","https://openalex.org/W2077951293","https://openalex.org/W2114701396","https://openalex.org/W2125936497","https://openalex.org/W2132951367","https://openalex.org/W2155351433","https://openalex.org/W2158604775","https://openalex.org/W3157685993"],"related_works":["https://openalex.org/W3042617802","https://openalex.org/W2390565750","https://openalex.org/W4304143159","https://openalex.org/W2612049511","https://openalex.org/W2088117556","https://openalex.org/W2155863125","https://openalex.org/W1179954120","https://openalex.org/W2099097840","https://openalex.org/W4220761370","https://openalex.org/W2527978246"],"abstract_inverted_index":{"In":[0,28,140],"this":[1,26,29],"paper,":[2],"we":[3,31],"present":[4],"an":[5,49],"efficient":[6],"and":[7,41,151,166],"simple":[8],"shadow":[9,45,56,75,121,153],"detection":[10,57],"algorithm":[11],"for":[12,53,102,162],"indoor":[13,78,106],"environments,":[14],"as":[15,17],"well":[16],"give":[18],"a":[19,116],"brief":[20],"description":[21],"on":[22],"the":[23,109,138,145],"advantages":[24],"of":[25,35,118],"method.":[27],"method,":[30],"use":[32],"three":[33],"types":[34],"approaches:":[36],"image":[37,89],"enhancement,":[38],"chromaticity":[39,110],"consistency,":[40],"gradient":[42,124],"features.":[43],"Multiple":[44],"direction":[46],"is":[47,67,92,112],"becoming":[48],"increasingly":[50],"challenging":[51],"task":[52],"many":[54],"moving":[55],"algorithms":[58],"because":[59],"some":[60],"objects":[61],"have":[62,133],"large":[63],"self-shadows.":[64],"Our":[65],"system":[66],"able":[68],"to":[69,81,95,98,114,128,155],"achieve":[70],"good":[71],"performance":[72],"solving":[73],"spread":[74],"problems":[76],"in":[77,85,137],"scenes,":[79],"leading":[80],"improved":[82],"foreground":[83,130,158],"segmentation":[84],"surveillance":[86],"scenarios.":[87],"The":[88],"enhancement":[90],"approach":[91],"first":[93],"employed":[94],"input":[96],"images":[97,101],"generate":[99],"high-quality":[100],"artificial":[103],"light":[104],"source":[105],"areas.":[107],"Afterwards,":[108],"information":[111],"utilized":[113],"create":[115],"mask":[117],"possible":[119],"candidate":[120],"pixels.":[122],"Subsequently,":[123],"features":[125],"are":[126],"applied":[127],"remove":[129,152],"pixels":[131,154],"that":[132],"been":[134],"incorrectly":[135],"included":[136],"mask.":[139],"comparison":[141],"with":[142],"existing":[143],"algorithms,":[144],"proposed":[146],"method":[147],"can":[148],"correctly":[149],"detect":[150],"identify":[156],"original":[157],"shapes":[159],"without":[160],"distortion":[161],"delivering":[163],"object":[164],"recognition":[165],"tracking":[167],"tasks.":[168]},"counts_by_year":[{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}