{"id":"https://openalex.org/W1889681201","doi":"https://doi.org/10.1109/acv.2002.1182166","title":"Object detection method based on local kernels and automatic kernel selection by Kullback-Leibler divergence","display_name":"Object detection method based on local kernels and automatic kernel selection by Kullback-Leibler divergence","publication_year":2003,"publication_date":"2003-06-26","ids":{"openalex":"https://openalex.org/W1889681201","doi":"https://doi.org/10.1109/acv.2002.1182166","mag":"1889681201"},"language":"en","primary_location":{"id":"doi:10.1109/acv.2002.1182166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acv.2002.1182166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings.","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/A5103163418","display_name":"Kazuhiro Hotta","orcid":"https://orcid.org/0000-0002-5675-8713"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"K. Hotta","raw_affiliation_strings":["University of Electro-Communications, Chofu, Tokyo, Japan","Univ. of Electro-Commun., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"University of Electro-Communications, Chofu, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Univ. of Electro-Commun., Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103163418"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5467447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"58","issue":null,"first_page":"105","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.7675986886024475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7339206337928772},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6868723630905151},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6858686804771423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6712104678153992},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6556950211524963},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.6288662552833557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6251612901687622},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5454626083374023},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5417412519454956},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5165790319442749},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.5088227391242981},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44354817271232605},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.25837332010269165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2191740870475769},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.08806675672531128},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06670615077018738}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.7675986886024475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7339206337928772},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6868723630905151},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6858686804771423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6712104678153992},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6556950211524963},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.6288662552833557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6251612901687622},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5454626083374023},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5417412519454956},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5165790319442749},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.5088227391242981},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44354817271232605},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.25837332010269165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2191740870475769},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.08806675672531128},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06670615077018738},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acv.2002.1182166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acv.2002.1182166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1482428446","https://openalex.org/W1914401667","https://openalex.org/W2000405398","https://openalex.org/W2095757522","https://openalex.org/W2104163856","https://openalex.org/W2104671481","https://openalex.org/W2108995755","https://openalex.org/W2116940633","https://openalex.org/W2121114545","https://openalex.org/W2121601095","https://openalex.org/W2124351082","https://openalex.org/W2137234026","https://openalex.org/W2145889472","https://openalex.org/W2152473410","https://openalex.org/W2155511848","https://openalex.org/W2159686933","https://openalex.org/W2163965432","https://openalex.org/W7055411540"],"related_works":["https://openalex.org/W2105321464","https://openalex.org/W2887774187","https://openalex.org/W2388220555","https://openalex.org/W3048739257","https://openalex.org/W1665563134","https://openalex.org/W2963604926","https://openalex.org/W1616881371","https://openalex.org/W2802018156","https://openalex.org/W1520875569","https://openalex.org/W2199957582"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"object":[4],"detection":[5,42],"method":[6,37,49,69],"based":[7],"on":[8,19],"local":[9,12,75],"kernels.":[10],"The":[11,35,44],"kernels":[13,76],"are":[14,23],"arranged":[15],"to":[16,31,40],"all":[17],"positions":[18],"recognition":[20,33],"target":[21],"and":[22],"selected":[24],"automatically":[25],"by":[26,52,72],"using":[27,55],"Kullback-Leibler":[28],"divergence":[29],"according":[30],"the":[32,47,53,67,74],"target.":[34],"proposed":[36,48,68],"is":[38,50,61,70],"applied":[39],"pedestrian":[41,58],"problem.":[43],"performance":[45],"of":[46,66],"evaluated":[51],"experiment":[54],"MIT":[56],"CBCL":[57],"database.":[59],"It":[60],"confirmed":[62],"that":[63],"generalization":[64],"ability":[65],"improved":[71],"selecting":[73],"automatically.":[77]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
