{"id":"https://openalex.org/W2061202450","doi":"https://doi.org/10.1109/icip.2011.6115670","title":"Pose estimation and body segmentation based on hierarchical searching tree","display_name":"Pose estimation and body segmentation based on hierarchical searching tree","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2061202450","doi":"https://doi.org/10.1109/icip.2011.6115670","mag":"2061202450"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6115670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6115670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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/A5100774425","display_name":"Shifeng Li","orcid":"https://orcid.org/0000-0002-5220-5791"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shifeng Li","raw_affiliation_strings":["Department of Electronic Engineering, Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006986293","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0002-6668-9758"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huchuan Lu","raw_affiliation_strings":["Department of Electronic Engineering, Dalian University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015967560","display_name":"Xiang Ruan","orcid":"https://orcid.org/0000-0003-4500-7516"},"institutions":[{"id":"https://openalex.org/I146230289","display_name":"Omron (Japan)","ror":"https://ror.org/00q0w1h45","country_code":"JP","type":"company","lineage":["https://openalex.org/I146230289"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiang Ruan","raw_affiliation_strings":["Digital Imaging & Mobile Devices Department, Omron Cooperation, Kusatsu, Japan"],"affiliations":[{"raw_affiliation_string":"Digital Imaging & Mobile Devices Department, Omron Cooperation, Kusatsu, Japan","institution_ids":["https://openalex.org/I146230289"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yen-wei Chen","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100774425"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12336472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1289","last_page":"1292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9955000281333923,"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":0.9947999715805054,"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/pose","display_name":"Pose","score":0.8307878971099854},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8092179894447327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7312861084938049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7214080691337585},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5839071869850159},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.5217538475990295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5002985000610352},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49348151683807373},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4895850121974945},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.48948872089385986},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.477967232465744},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.43361347913742065},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19019895792007446}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8307878971099854},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8092179894447327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7312861084938049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214080691337585},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5839071869850159},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.5217538475990295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5002985000610352},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49348151683807373},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4895850121974945},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.48948872089385986},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.477967232465744},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.43361347913742065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19019895792007446},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6115670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6115670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1536943225","https://openalex.org/W1947439035","https://openalex.org/W1997691213","https://openalex.org/W2020227869","https://openalex.org/W2030536784","https://openalex.org/W2037268435","https://openalex.org/W2105990640","https://openalex.org/W2121432081","https://openalex.org/W2124351162","https://openalex.org/W2124684150","https://openalex.org/W2161446043","https://openalex.org/W2161969291","https://openalex.org/W2162253476","https://openalex.org/W2169551590","https://openalex.org/W6632204412","https://openalex.org/W6640964457","https://openalex.org/W6675961540","https://openalex.org/W6678716338"],"related_works":["https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W4386075737","https://openalex.org/W2951583186","https://openalex.org/W4299867837","https://openalex.org/W2088028039","https://openalex.org/W4382141741","https://openalex.org/W3165753266","https://openalex.org/W1968783203","https://openalex.org/W4206633503"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,37,48],"propose":[4],"a":[5,39,50],"novel":[6],"method":[7,31,54,94],"for":[8,99],"pose":[9,71,79,83,100],"estimation":[10,72,101],"and":[11,34,97,102],"body":[12,88,103],"segmentation.":[13,89],"We":[14],"estimate":[15],"the":[16,44,57,62,70,74,81],"partial":[17,45],"configuration":[18],"of":[19,23],"adjacent":[20],"parts":[21],"instead":[22],"detecting":[24],"each":[25],"single":[26],"part,":[27],"which":[28],"makes":[29],"our":[30,93],"more":[32],"robust":[33],"accurate.":[35],"Further,":[36],"develop":[38],"general":[40],"model":[41],"to":[42,55,67,86],"calculate":[43],"configuration.":[46],"Besides,":[47],"present":[49],"tree-based":[51],"hierarchical":[52],"probabilistic":[53],"derive":[56],"global":[58],"optimal":[59],"pose.":[60],"Additionally,":[61],"coarse-to-fine":[63],"strategy":[64],"is":[65,84,95],"employed":[66],"speed":[68],"up":[69],"in":[73],"whole":[75],"procedure.":[76],"After":[77],"finishing":[78],"estimation,":[80],"estimated":[82],"used":[85],"guide":[87],"Experiments":[90],"suggest":[91],"that":[92],"efficient":[96],"effective":[98],"segmentation":[104],"simultaneously.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
