{"id":"https://openalex.org/W1978418905","doi":"https://doi.org/10.1109/icmlc.2010.5580930","title":"Posture recognition invariant to background, cloth textures, body size, and camera distance using morphological geometry","display_name":"Posture recognition invariant to background, cloth textures, body size, and camera distance using morphological geometry","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W1978418905","doi":"https://doi.org/10.1109/icmlc.2010.5580930","mag":"1978418905"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5580930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033546951","display_name":"Piyarat Silapasuphakornwong","orcid":"https://orcid.org/0000-0001-6589-5042"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Piyarat Silapasuphakornwong","raw_affiliation_strings":["Department of Imaging Science and Printing Technology, Faculty of Science, Chulalongkom University, Bangkok, Thailand","Department of Imaging Science and Printing Technology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Imaging Science and Printing Technology, Faculty of Science, Chulalongkom University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]},{"raw_affiliation_string":"Department of Imaging Science and Printing Technology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028724616","display_name":"Suphakant Phimoltares","orcid":"https://orcid.org/0000-0002-4352-1864"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Suphakant Phimoltares","raw_affiliation_strings":["Advanced Virtual and Intelligent Computing Center (AVIC), Department of Mathematics, Faculty of Science, Chulalongkom University, Bangkok, Thailand","Advanced Virtual and Intelligent Computing Center (AVIC), Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Virtual and Intelligent Computing Center (AVIC), Department of Mathematics, Faculty of Science, Chulalongkom University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]},{"raw_affiliation_string":"Advanced Virtual and Intelligent Computing Center (AVIC), Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand#TAB#","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038009786","display_name":"Chidchanok Lursinsap","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chidchanok Lursinsap","raw_affiliation_strings":["Advanced Virtual and Intelligent Computing Center (AVIC), Department of Mathematics, Faculty of Science, Chulalongkom University, Bangkok, Thailand","Advanced Virtual and Intelligent Computing Center (AVIC), Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Virtual and Intelligent Computing Center (AVIC), Department of Mathematics, Faculty of Science, Chulalongkom University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]},{"raw_affiliation_string":"Advanced Virtual and Intelligent Computing Center (AVIC), Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, Thailand#TAB#","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079475521","display_name":"Aran Hansuebsai","orcid":"https://orcid.org/0000-0002-2282-6159"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Aran Hansuebsai","raw_affiliation_strings":["Department of Imaging Science and Printing Technology, Faculty of Science, Chulalongkom University, Bangkok, Thailand","Department of Imaging Science and Printing Technology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Imaging Science and Printing Technology, Faculty of Science, Chulalongkom University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]},{"raw_affiliation_string":"Department of Imaging Science and Printing Technology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":1.6317,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85002404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1130","last_page":"1135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10812","display_name":"Human Pose and Action 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.6400731205940247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6337004899978638},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5976741313934326},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.5049086213111877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43074870109558105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3646668791770935}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6400731205940247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6337004899978638},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5976741313934326},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.5049086213111877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43074870109558105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3646668791770935},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5580930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1516821381","https://openalex.org/W2019207321","https://openalex.org/W2090110089","https://openalex.org/W2099213012","https://openalex.org/W2114701396","https://openalex.org/W2116353056","https://openalex.org/W2119350939","https://openalex.org/W2120316290"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"The":[0,51,66,105],"human":[1,74],"posture":[2,75,120],"estimation":[3],"in":[4,35,101],"surveillance":[5],"caring":[6],"application":[7],"can":[8],"improves":[9],"the":[10,36,43,57,90,98,102,111,118],"people":[11,34],"everyday":[12],"life,":[13],"In":[14],"this":[15],"paper,":[16],"we":[17],"propose":[18],"a":[19,122],"method":[20],"that":[21],"is":[22,40],"invariant":[23],"to":[24,42],"background,":[25],"distance":[26],"of":[27,33,61,64,93,107,113,121],"camera":[28,127],"location,":[29],"size":[30],"and":[31,45,59,85,126],"cloths":[32],"frames.":[37],"A":[38],"silhouette":[39],"projected":[41],"horizontal":[44],"vertical":[46],"histograms":[47],"for":[48,72],"features":[49,53,68,100],"extraction.":[50],"important":[52],"are":[54,69],"based":[55],"on":[56],"length":[58],"width":[60],"body":[62,124],"parts":[63],"human.":[65],"proposed":[67],"more":[70],"suitable":[71],"classifying":[73],"into":[76],"four":[77],"main":[78],"categories":[79],"such":[80,116],"as":[81,117],"standing,":[82],"lying,":[83],"sitting,":[84],"bending,":[86],"obviously":[87],"appeared":[88],"with":[89,97],"high":[91],"percentage":[92],"recognition":[94],"when":[95],"compared":[96],"traditional":[99],"ANFIS":[103],"model.":[104],"increase":[106],"accuracy":[108],"comes":[109],"from":[110],"robustness":[112],"various":[114],"environments":[115],"complicated":[119],"changed":[123],"position":[125],"distance.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
