{"id":"https://openalex.org/W2125297055","doi":"https://doi.org/10.1109/tie.2011.2161249","title":"Robust Elevator Button Recognition in the Presence of Partial Occlusion and Clutter by Specular Reflections","display_name":"Robust Elevator Button Recognition in the Presence of Partial Occlusion and Clutter by Specular Reflections","publication_year":2011,"publication_date":"2011-07-21","ids":{"openalex":"https://openalex.org/W2125297055","doi":"https://doi.org/10.1109/tie.2011.2161249","mag":"2125297055"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2011.2161249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2011.2161249","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","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/A5044047706","display_name":"Heon\u2010Hui Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heon-Hui Kim","raw_affiliation_strings":["Art and Robotics Institute, Kwangwoon University, Seoul, South Korea","Art & Robot. Inst., Kwangwoon Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Art and Robotics Institute, Kwangwoon University, Seoul, South Korea","institution_ids":["https://openalex.org/I161024014"]},{"raw_affiliation_string":"Art & Robot. Inst., Kwangwoon Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087060429","display_name":"Dae Jin Kim","orcid":"https://orcid.org/0000-0003-4461-9991"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dae-Jin Kim","raw_affiliation_strings":["Universal Robotics, Inc., Nashville, TN, USA","Universal Robot., Inc., Nashville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universal Robotics, Inc., Nashville, TN, USA","institution_ids":[]},{"raw_affiliation_string":"Universal Robot., Inc., Nashville, TN, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014943644","display_name":"Kwang\u2010Hyun Park","orcid":"https://orcid.org/0000-0001-8816-2976"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-Hyun Park","raw_affiliation_strings":["School of Robotics, Kwangwoon University, Seoul, South Korea","Sch. of Robot., Kwangwoon Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Robotics, Kwangwoon University, Seoul, South Korea","institution_ids":["https://openalex.org/I161024014"]},{"raw_affiliation_string":"Sch. of Robot., Kwangwoon Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I161024014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5107,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9288528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"59","issue":"3","first_page":"1597","last_page":"1611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9952999949455261,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-vision","display_name":"Computer vision","score":0.7510132789611816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7359722256660461},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6637334227561951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6579278707504272},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.646752655506134},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5224451422691345},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.46599045395851135},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.41502851247787476},{"id":"https://openalex.org/keywords/elevator","display_name":"Elevator","score":0.41078075766563416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3400433361530304},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3063051104545593},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.10988372564315796}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7510132789611816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7359722256660461},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6637334227561951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6579278707504272},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.646752655506134},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5224451422691345},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.46599045395851135},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.41502851247787476},{"id":"https://openalex.org/C147021018","wikidata":"https://www.wikidata.org/wiki/Q252451","display_name":"Elevator","level":2,"score":0.41078075766563416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3400433361530304},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3063051104545593},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.10988372564315796},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2011.2161249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2011.2161249","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W62482549","https://openalex.org/W1560626532","https://openalex.org/W1669383326","https://openalex.org/W1967254051","https://openalex.org/W1981934656","https://openalex.org/W2017787659","https://openalex.org/W2033819227","https://openalex.org/W2042316011","https://openalex.org/W2051819074","https://openalex.org/W2082678666","https://openalex.org/W2085261163","https://openalex.org/W2097521303","https://openalex.org/W2102397622","https://openalex.org/W2104225154","https://openalex.org/W2108807675","https://openalex.org/W2108811572","https://openalex.org/W2109095767","https://openalex.org/W2111691855","https://openalex.org/W2119605622","https://openalex.org/W2120548497","https://openalex.org/W2121095571","https://openalex.org/W2125253085","https://openalex.org/W2128998325","https://openalex.org/W2133059825","https://openalex.org/W2133616956","https://openalex.org/W2135318891","https://openalex.org/W2135431879","https://openalex.org/W2135449683","https://openalex.org/W2142229279","https://openalex.org/W2142369532","https://openalex.org/W2143756619","https://openalex.org/W2143842970","https://openalex.org/W2145167991","https://openalex.org/W2147125096","https://openalex.org/W2149813083","https://openalex.org/W2151103935","https://openalex.org/W2153496242","https://openalex.org/W2155522433","https://openalex.org/W2156963109","https://openalex.org/W2162808897","https://openalex.org/W2164278545","https://openalex.org/W2177274842","https://openalex.org/W2209124607","https://openalex.org/W3010735106","https://openalex.org/W4205398292","https://openalex.org/W6602521380","https://openalex.org/W6633552011","https://openalex.org/W6678685431"],"related_works":["https://openalex.org/W4241837227","https://openalex.org/W1507618586","https://openalex.org/W1992739161","https://openalex.org/W4327521044","https://openalex.org/W2905031437","https://openalex.org/W4308506277","https://openalex.org/W3114949286","https://openalex.org/W3159687493","https://openalex.org/W2359467910","https://openalex.org/W1996690921"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,89],"vision-based":[4],"elevator":[5,13,19,50],"button":[6,20,51,62,81,91,103,133],"recognition":[7,21,52,63],"for":[8,48,116],"a":[9,46,60,93,122,128,136,159],"robot":[10],"arm":[11],"manipulating":[12],"buttons.":[14,151],"The":[15,152],"major":[16],"difficulties":[17],"in":[18,54,83,130,139,158],"are":[22],"the":[23,29,43,49,79,84,117,140,146,149],"presence":[24],"of":[25,28,78,86,95,142,148],"partial":[26],"occlusion":[27],"target":[30],"objects":[31],"and":[32,73,145,166],"image":[33,111],"clutter":[34],"caused":[35],"by":[36],"specular":[37],"reflection":[38],"from":[39],"mirrorlike":[40],"walls":[41],"inside":[42],"elevator.":[44],"As":[45],"remedy":[47],"problem":[53],"highly":[55],"complicated":[56],"settings,":[57],"we":[58],"propose":[59],"robust":[61],"algorithm,":[64],"which":[65],"is":[66,97,113,155],"modularized":[67],"into":[68],"feature":[69],"extraction,":[70],"initial":[71],"recognition,":[72],"postrefinement":[74],"modules.":[75],"In":[76],"consideration":[77],"diverse":[80],"shapes":[82],"form":[85],"convex":[87],"quadrilaterals":[88],"rounded":[90],"corners,":[92],"set":[94],"features":[96],"specially":[98],"designed":[99],"to":[100,106,120,162],"describe":[101],"each":[102],"contour":[104],"subject":[105],"perspective":[107],"distortion.":[108],"A":[109],"homography-based":[110],"transform":[112],"also":[114],"employed":[115],"template":[118],"matching":[119,125],"achieve":[121],"more":[123],"reliable":[124],"performance.":[126,168],"Like":[127],"grammar":[129],"linguistics,":[131],"geometric":[132],"alignment,":[134],"plays":[135],"key":[137],"role":[138],"elimination":[141],"false":[143],"positives":[144],"estimation":[147],"missing":[150],"proposed":[153],"algorithm":[154],"extensively":[156],"tested":[157],"robotic":[160],"platform":[161],"verify":[163],"effectiveness,":[164],"robustness,":[165],"real-time":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}