{"id":"https://openalex.org/W2294588595","doi":"https://doi.org/10.1109/icip.2015.7351198","title":"Real-time upper body pose estimation from depth images","display_name":"Real-time upper body pose estimation from depth images","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2294588595","doi":"https://doi.org/10.1109/icip.2015.7351198","mag":"2294588595"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5009245958","display_name":"Ming\u2010Han Tsai","orcid":"https://orcid.org/0000-0001-5563-3057"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ming-Han Tsai","raw_affiliation_strings":["National Chiao Tung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101056046","display_name":"Kuan\u2010Hua Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Hua Chen","raw_affiliation_strings":["National Chiao Tung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045064598","display_name":"I\u2010Chen Lin","orcid":"https://orcid.org/0000-0001-9924-4723"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"I-Chen Lin","raw_affiliation_strings":["National Chiao Tung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009245958"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6116713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":null,"first_page":"2234","last_page":"2238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"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":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.7068858742713928},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7025254964828491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6291422247886658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48107409477233887},{"id":"https://openalex.org/keywords/upper-body","display_name":"Upper body","score":0.4587682783603668},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43572354316711426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3226201832294464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7068858742713928},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7025254964828491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6291422247886658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48107409477233887},{"id":"https://openalex.org/C2992583082","wikidata":"https://www.wikidata.org/wiki/Q9645","display_name":"Upper body","level":3,"score":0.4587682783603668},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43572354316711426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3226201832294464},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C153396756","wikidata":"https://www.wikidata.org/wiki/Q1785966","display_name":"Physical strength","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1515963346","https://openalex.org/W2000088621","https://openalex.org/W2030536784","https://openalex.org/W2036196300","https://openalex.org/W2045798786","https://openalex.org/W2067191022","https://openalex.org/W2101418199","https://openalex.org/W2115703234","https://openalex.org/W2123503110","https://openalex.org/W2143478373","https://openalex.org/W2172156083","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4387967917","https://openalex.org/W4387968151","https://openalex.org/W4386925306","https://openalex.org/W3132124459","https://openalex.org/W2946083937","https://openalex.org/W2736638679","https://openalex.org/W4313046826","https://openalex.org/W1968716783"],"abstract_inverted_index":{"Estimating":[0],"upper":[1,56],"body":[2,57,72],"poses":[3],"from":[4],"a":[5,11,19,46,93],"sequence":[6],"of":[7,55,59,71,96],"depth":[8],"images":[9],"is":[10],"challenging":[12],"problem.":[13],"Lately,":[14],"the":[15,52,68,80],"state-of-art":[16],"work":[17],"adopted":[18],"randomized":[20],"forest":[21],"method":[22,49,82],"to":[23,36,50,66],"label":[24],"human":[25],"parts":[26,58,73],"in":[27,87],"real":[28,88],"time.":[29],"However,":[30],"it":[31,91],"requires":[32,92],"enormous":[33],"training":[34,97],"data":[35],"obtain":[37,84],"favorable":[38],"results.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"using":[45],"novel":[47],"two-stage":[48],"estimate":[51],"probability":[53],"maps":[54,62],"users.":[60],"These":[61],"are":[63],"then":[64],"used":[65],"evaluate":[67],"region":[69],"fitness":[70],"for":[74],"pose":[75],"recovery.":[76],"Experiments":[77],"show":[78],"that":[79],"proposed":[81],"can":[83],"satisfactory":[85],"outcome":[86],"time":[89],"and":[90],"moderate":[94],"size":[95],"data.":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}