{"id":"https://openalex.org/W2059090054","doi":"https://doi.org/10.1109/icsipa.2011.6144084","title":"A semi supervised learning-based method for adaptive shadow detection","display_name":"A semi supervised learning-based method for adaptive shadow detection","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2059090054","doi":"https://doi.org/10.1109/icsipa.2011.6144084","mag":"2059090054"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa.2011.6144084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2011.6144084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","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/A5080020962","display_name":"Mohamed M. El-Zahhar","orcid":null},"institutions":[{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Mohamed M. El-Zahhar","raw_affiliation_strings":["Center for Informatics Science, Nile University, Cairo, Egypt","Center for Informatics Science, Nile University, Cairo, Egypt#TAB#"],"affiliations":[{"raw_affiliation_string":"Center for Informatics Science, Nile University, Cairo, Egypt","institution_ids":["https://openalex.org/I57629906"]},{"raw_affiliation_string":"Center for Informatics Science, Nile University, Cairo, Egypt#TAB#","institution_ids":["https://openalex.org/I57629906"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064355297","display_name":"Abubakrelsedik Karali","orcid":null},"institutions":[{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Abubakrelsedik Karali","raw_affiliation_strings":["Center for Informatics Science, Nile University, Cairo, Egypt","Center for Informatics Science, Nile University, Cairo, Egypt#TAB#"],"affiliations":[{"raw_affiliation_string":"Center for Informatics Science, Nile University, Cairo, Egypt","institution_ids":["https://openalex.org/I57629906"]},{"raw_affiliation_string":"Center for Informatics Science, Nile University, Cairo, Egypt#TAB#","institution_ids":["https://openalex.org/I57629906"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012401830","display_name":"Mohamed Elhelw","orcid":"https://orcid.org/0000-0001-8173-816X"},"institutions":[{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed ElHelw","raw_affiliation_strings":["Center for Informatics Science, Nile University, Cairo, Egypt","Center for Informatics Science, Nile University, Cairo, Egypt#TAB#"],"affiliations":[{"raw_affiliation_string":"Center for Informatics Science, Nile University, Cairo, Egypt","institution_ids":["https://openalex.org/I57629906"]},{"raw_affiliation_string":"Center for Informatics Science, Nile University, Cairo, Egypt#TAB#","institution_ids":["https://openalex.org/I57629906"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080020962"],"corresponding_institution_ids":["https://openalex.org/I57629906"],"apc_list":null,"apc_paid":null,"fwci":1.0303,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79704649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"348","last_page":"353"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976999759674072,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8209640979766846},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.7977593541145325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7839698791503906},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7126559615135193},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6076058745384216},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6051486730575562},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.557815432548523},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4928312599658966},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4178905487060547}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8209640979766846},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.7977593541145325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7839698791503906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7126559615135193},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6076058745384216},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6051486730575562},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.557815432548523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4928312599658966},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4178905487060547},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa.2011.6144084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2011.6144084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6200000047683716,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W26115301","https://openalex.org/W113134811","https://openalex.org/W160430195","https://openalex.org/W1560483044","https://openalex.org/W1676617097","https://openalex.org/W2096989099","https://openalex.org/W2098305432","https://openalex.org/W2102625004","https://openalex.org/W2105781123","https://openalex.org/W2123009513","https://openalex.org/W2130210787","https://openalex.org/W2136504847","https://openalex.org/W2138187652","https://openalex.org/W2143938723","https://openalex.org/W2144720632","https://openalex.org/W2162018804","https://openalex.org/W2170776936","https://openalex.org/W2266046854","https://openalex.org/W3047763984","https://openalex.org/W4250865963","https://openalex.org/W6601057337","https://openalex.org/W6606488024","https://openalex.org/W6680140577","https://openalex.org/W6781416680"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W4390721878","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"vision-based":[1],"systems,":[2],"cast":[3],"shadow":[4,28,48,115,132,136,142],"detection":[5,29,49,133],"is":[6,55],"one":[7],"of":[8,22,72],"the":[9,70,126,131,141],"key":[10],"problems":[11],"that":[12,58,95,125],"must":[13],"be":[14,83],"alleviated":[15],"in":[16,37,63],"order":[17],"to":[18,77,146],"achieve":[19],"robust":[20],"segmentation":[21],"moving":[23,101],"objects.":[24],"Most":[25],"methods":[26],"for":[27,46,98,113],"require":[30],"significant":[31],"human":[32],"input":[33],"and":[34,68,74,92,103,140],"they":[35],"work":[36],"static":[38],"settings.":[39],"This":[40],"paper":[41],"proposes":[42],"a":[43,56,109],"novel":[44],"approach":[45,81,112],"adaptive":[47,114],"by":[50],"using":[51],"semi-supervised":[52,110],"learning":[53,111],"which":[54],"technique":[57,128],"has":[59],"been":[60],"widely":[61],"utilized":[62],"various":[64],"pattern":[65],"recognition":[66],"applications":[67],"exploits":[69],"use":[71,108],"labeled":[73],"unlabeled":[75],"data":[76],"improve":[78],"classification.":[79],"The":[80],"can":[82],"summarized":[84],"as":[85,138,150],"follows:":[86],"First,":[87],"we":[88,107],"extract":[89],"color,":[90],"texture,":[91],"gradient":[93],"features":[94],"are":[96],"useful":[97],"differentiating":[99],"between":[100],"objects":[102],"their":[104],"shadows.":[105],"Second,":[106],"detection.":[116],"Experimental":[117],"results":[118],"obtained":[119],"with":[120],"benchmark":[121],"video":[122],"sequences":[123],"demonstrate":[124],"proposed":[127],"improves":[129],"both":[130],"rate":[134,144],"(classify":[135],"points":[137,149],"shadows)":[139,151],"discrimination":[143],"(not":[145],"classify":[147],"object":[148],"under":[152],"different":[153],"scene":[154],"conditions.":[155]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
