{"id":"https://openalex.org/W2054965954","doi":"https://doi.org/10.1145/2701973.2702093","title":"Low-Body-Part Detection using RGB-D camera","display_name":"Low-Body-Part Detection using RGB-D camera","publication_year":2015,"publication_date":"2015-03-02","ids":{"openalex":"https://openalex.org/W2054965954","doi":"https://doi.org/10.1145/2701973.2702093","mag":"2054965954"},"language":"en","primary_location":{"id":"doi:10.1145/2701973.2702093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2701973.2702093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts","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/A5048856833","display_name":"JiGwan Park","orcid":null},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jigwan Park","raw_affiliation_strings":["Korea Institute of Science and Technology, Seoul, South Korea","Korea institute of science and technology, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I58716616"]},{"raw_affiliation_string":"Korea institute of science and technology, Seoul, South Korea","institution_ids":["https://openalex.org/I58716616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112376871","display_name":"Kijin An","orcid":null},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kijin An","raw_affiliation_strings":["Korea Institute of Science and Technology, Seoul, South Korea","Korea institute of science and technology, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I58716616"]},{"raw_affiliation_string":"Korea institute of science and technology, Seoul, South Korea","institution_ids":["https://openalex.org/I58716616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052822694","display_name":"JongSuk Choi","orcid":"https://orcid.org/0000-0002-0399-4675"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JongSuk Choi","raw_affiliation_strings":["Korea Institute of Science and Technology, Seoul, South Korea","Korea institute of science and technology, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I58716616"]},{"raw_affiliation_string":"Korea institute of science and technology, Seoul, South Korea","institution_ids":["https://openalex.org/I58716616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048856833"],"corresponding_institution_ids":["https://openalex.org/I58716616"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74350943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"273","last_page":"273"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7636973857879639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7418745756149292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7286610007286072},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6598224639892578},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5804907083511353},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.48968079686164856},{"id":"https://openalex.org/keywords/human-body","display_name":"Human body","score":0.4817640781402588},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4580579698085785},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4505040943622589},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1777316927909851}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7636973857879639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7418745756149292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7286610007286072},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6598224639892578},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5804907083511353},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.48968079686164856},{"id":"https://openalex.org/C193293595","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human body","level":2,"score":0.4817640781402588},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4580579698085785},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4505040943622589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1777316927909851}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2701973.2702093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2701973.2702093","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2048605796","https://openalex.org/W2111957821","https://openalex.org/W2131072478","https://openalex.org/W2161969291"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"The":[0],"reliable":[1],"perception":[2],"of":[3,31,86],"a":[4,7,22,25,42,70],"human":[5,32],"in":[6,49],"dynamic":[8],"environment":[9],"is":[10,47],"the":[11,29,39,83,87,91,97,100,103,110],"most":[12],"critical":[13],"issue":[14],"for":[15],"interactive":[16],"human-robot":[17,20],"services.":[18],"In":[19,102],"interaction,":[21],"camera":[23],"on":[24],"robot":[26],"naturally":[27],"captures":[28],"low-body-part":[30,50,71,92],"because":[33],"robots":[34],"are":[35,62,107],"usually":[36],"shorter":[37],"than":[38],"human.":[40],"Conventionally,":[41],"two-dimensional":[43],"laser":[44],"range":[45],"finder":[46],"used":[48],"detection":[51,72],"[1,":[52],"2].":[53],"However,":[54],"these":[55],"methods":[56],"may":[57],"cause":[58],"errors":[59],"when":[60],"there":[61],"similar":[63],"structures":[64],"with":[65],"legs.":[66],"This":[67],"video":[68],"demonstrates":[69],"scheme":[73],"that":[74],"not":[75],"only":[76],"exploits":[77],"three-dimensional":[78],"characteristics":[79],"and":[80],"but":[81],"also":[82],"RGB":[84],"features":[85],"low-body-part.":[88],"We":[89],"build":[90],"candidates":[93,106],"by":[94,109],"clustering":[95],"from":[96],"legs":[98],"to":[99],"heap.":[101],"results,":[104],"spurious":[105],"eliminated":[108],"proposed":[111],"method.":[112]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}