{"id":"https://openalex.org/W1985731438","doi":"https://doi.org/10.1109/icsmc.2010.5642246","title":"Human detection from fish-eye image by Bayesian combination of probabilistic appearance models","display_name":"Human detection from fish-eye image by Bayesian combination of probabilistic appearance models","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W1985731438","doi":"https://doi.org/10.1109/icsmc.2010.5642246","mag":"1985731438"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2010.5642246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5642246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","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/A5074251326","display_name":"Mamoru Saito","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Mamoru Saito","raw_affiliation_strings":["Osaka Municipal Technical Research Institute, Osaka, Japan","Osaka Municipal Technical Research Institute, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka Municipal Technical Research Institute, Osaka, Japan","institution_ids":["https://openalex.org/I4210138169"]},{"raw_affiliation_string":"Osaka Municipal Technical Research Institute, Japan","institution_ids":["https://openalex.org/I4210138169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070529323","display_name":"Katsuhisa Kitaguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuhisa Kitaguchi","raw_affiliation_strings":["Osaka Municipal Technical Research Institute, Osaka, Japan","Osaka Municipal Technical Research Institute, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka Municipal Technical Research Institute, Osaka, Japan","institution_ids":["https://openalex.org/I4210138169"]},{"raw_affiliation_string":"Osaka Municipal Technical Research Institute, Japan","institution_ids":["https://openalex.org/I4210138169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032614024","display_name":"Gun Kimura","orcid":null},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Gun Kimura","raw_affiliation_strings":["Faculty of Engineering, Doshisha University, Kyoto, Japan","[Faculty of Engineering, Doshisha University, Kyoto, Japan]"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Doshisha University, Kyoto, Japan","institution_ids":["https://openalex.org/I133984924"]},{"raw_affiliation_string":"[Faculty of Engineering, Doshisha University, Kyoto, Japan]","institution_ids":["https://openalex.org/I133984924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113642708","display_name":"Masafumi Hashimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I133984924","display_name":"Doshisha University","ror":"https://ror.org/01fxdkm29","country_code":"JP","type":"education","lineage":["https://openalex.org/I133984924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masafumi Hashimoto","raw_affiliation_strings":["Faculty of Engineering, Doshisha University, Kyoto, Japan","[Faculty of Engineering, Doshisha University, Kyoto, Japan]"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Doshisha University, Kyoto, Japan","institution_ids":["https://openalex.org/I133984924"]},{"raw_affiliation_string":"[Faculty of Engineering, Doshisha University, Kyoto, Japan]","institution_ids":["https://openalex.org/I133984924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074251326"],"corresponding_institution_ids":["https://openalex.org/I4210138169"],"apc_list":null,"apc_paid":null,"fwci":0.6374,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.68308552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"243","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9926000237464905,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.8221626281738281},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7027308940887451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6978784203529358},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.5453857183456421},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5390720963478088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5277431607246399},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5117411613464355},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4457743167877197},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.44396883249282837},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4161553382873535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2323991358280182},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.09374067187309265}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8221626281738281},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7027308940887451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978784203529358},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.5453857183456421},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5390720963478088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5277431607246399},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5117411613464355},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4457743167877197},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.44396883249282837},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4161553382873535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2323991358280182},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.09374067187309265},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2010.5642246","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2010.5642246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1755117326","https://openalex.org/W2097324787","https://openalex.org/W2099895619","https://openalex.org/W2101178587","https://openalex.org/W2102691332","https://openalex.org/W2112106168","https://openalex.org/W2117082318","https://openalex.org/W2138187652","https://openalex.org/W2140235142","https://openalex.org/W2141251974","https://openalex.org/W2156539399","https://openalex.org/W2156848524","https://openalex.org/W2161969291","https://openalex.org/W2165131075","https://openalex.org/W4231534238","https://openalex.org/W6637962894","https://openalex.org/W6674662834","https://openalex.org/W6682736280"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1906975550","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2001760863","https://openalex.org/W2185145003"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,15,32,103,117],"method":[4,132],"for":[5,71],"automated":[6],"human":[7,24,33,52,97],"detection":[8,98],"using":[9,107],"fisheye":[10,118],"lens":[11,119],"camera.":[12],"We":[13],"introduce":[14],"probabilistic":[16],"model":[17],"to":[18,62],"describe":[19],"the":[20,51,63,67,81,94,124,136],"wide":[21],"variation":[22],"of":[23,40,83,96,130],"appearance":[25],"in":[26],"hemispherical":[27],"image.":[28],"In":[29],"our":[30,131],"method,":[31],"is":[34,99,121,133],"modeled":[35],"as":[36,101],"variable":[37],"shape":[38],"features":[39,47],"body":[41],"silhouette":[42],"and":[43,58,65,88,128],"head-shoulder":[44],"contour.":[45],"These":[46],"are":[48,78,111],"extracted":[49],"from":[50],"images":[53],"taken":[54],"at":[55],"various":[56],"distance":[57],"orientation":[59],"with":[60],"respect":[61],"camera,":[64],"form":[66],"training":[68],"data":[69],"set":[70],"template":[72,76],"modeling.":[73],"Non":[74],"linear":[75],"models":[77],"build":[79],"by":[80],"combination":[82],"Principal":[84],"Component":[85],"Analysis":[86],"(PCA)":[87],"Kernel":[89],"Ridge":[90],"Regression":[91],"(KRR).":[92],"Finally,":[93],"problem":[95],"formulated":[100],"maximum":[102],"posteriori":[104],"(MAP)":[105],"estimation":[106],"above":[108],"model.":[109],"Experiments":[110],"conducted":[112],"on":[113,123],"indoor":[114],"space":[115],"where":[116],"camera":[120],"installed":[122],"ceiling.":[125],"The":[126],"robustness":[127],"accuracy":[129],"discussed":[134],"through":[135],"experimental":[137],"results.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
