{"id":"https://openalex.org/W2132527471","doi":"https://doi.org/10.1109/pcs.2010.5702507","title":"3D pose estimation in high dimensional search spaces with local memorization","display_name":"3D pose estimation in high dimensional search spaces with local memorization","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2132527471","doi":"https://doi.org/10.1109/pcs.2010.5702507","mag":"2132527471"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2010.5702507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2010.5702507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"28th Picture Coding Symposium","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/A5108450822","display_name":"Weilan Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Weilan Luo","raw_affiliation_strings":["Department of Information and Communication Engineering, University of Tokyo, Japan","Dept. of Information and Communication Eng., The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, University of Tokyo, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]},{"raw_affiliation_string":"Dept. of Information and Communication Eng., The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048624196","display_name":"Toshihiko Yamasaki","orcid":"https://orcid.org/0000-0002-1784-2314"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihiko Yamasaki","raw_affiliation_strings":["Department of Information and Communication Engineering, University of Tokyo, Japan","Dept. of Information and Communication Eng., The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, University of Tokyo, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]},{"raw_affiliation_string":"Dept. of Information and Communication Eng., The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069982192","display_name":"Kiyoharu Aizawa","orcid":"https://orcid.org/0000-0003-2146-6275"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoharu Aizawa","raw_affiliation_strings":["Department of Information and Communication Engineering, Interfaculty Initiative in Information Studies, University of Tokyo, Japan","Dept. of Information and Communication Engineering, Interfaculty Initiative in Information Studies The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Interfaculty Initiative in Information Studies, University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Dept. of Information and Communication Engineering, Interfaculty Initiative in Information Studies The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108450822"],"corresponding_institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19066586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"354","last_page":"357"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.6355105638504028},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6160526275634766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6142441630363464},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.604778528213501},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.5843855738639832},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.526443362236023},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5060579180717468},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5051968693733215},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46471819281578064},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.45019012689590454},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.44758740067481995},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.4306362271308899},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.42977339029312134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35945242643356323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34397220611572266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2772323191165924}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6355105638504028},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6160526275634766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6142441630363464},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.604778528213501},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.5843855738639832},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.526443362236023},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5060579180717468},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5051968693733215},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46471819281578064},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.45019012689590454},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.44758740067481995},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.4306362271308899},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.42977339029312134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35945242643356323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34397220611572266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2772323191165924},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs.2010.5702507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2010.5702507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"28th Picture Coding Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1994508094","https://openalex.org/W2006178360","https://openalex.org/W2096226821","https://openalex.org/W2110434318","https://openalex.org/W2140772678","https://openalex.org/W2141670961","https://openalex.org/W2159701445","https://openalex.org/W2229412420","https://openalex.org/W4233857083","https://openalex.org/W6683391256"],"related_works":["https://openalex.org/W3093895509","https://openalex.org/W3163481960","https://openalex.org/W2323394100","https://openalex.org/W280704926","https://openalex.org/W2476068070","https://openalex.org/W4323971310","https://openalex.org/W2893372175","https://openalex.org/W1972827106","https://openalex.org/W3213413335","https://openalex.org/W3171829319"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,54,61],"stochastic":[4],"approach":[5],"for":[6,30,53],"extracting":[7],"the":[8,18,31,36,42,49,72,75,79,90,94,100,117],"articulated":[9,101],"3D":[10],"human":[11],"postures":[12,52],"by":[13],"synchronized":[14],"multiple":[15],"cameras":[16],"in":[17],"high-dimensional":[19],"configuration":[20],"spaces":[21],"is":[22,87,96,110],"presented.":[23],"Annealed":[24],"Particle":[25],"Filtering":[26],"(APF)":[27],"[1]":[28],"seeks":[29],"globally":[32],"optimal":[33],"solution":[34],"of":[35,59,81,105],"likelihood.":[37],"We":[38,98],"improve":[39],"and":[40,93],"extend":[41],"APF":[43],"with":[44],"local":[45,82],"memorization":[46],"to":[47,66,74],"estimate":[48],"suited":[50],"kinematic":[51],"volume":[55],"sequence":[56],"directly":[57],"instead":[58],"projecting":[60],"rough":[62],"simplified":[63],"body":[64],"model":[65],"2D":[67],"images.":[68],"Our":[69],"method":[70],"guides":[71],"particles":[73],"global":[76],"optimization":[77],"on":[78,89,113],"basis":[80],"constraints.":[83],"A":[84],"segmentation":[85],"algorithm":[86],"performed":[88],"volumetric":[91],"models":[92,102],"process":[95],"repeated.":[97],"assign":[99],"42":[103],"degrees":[104],"freedom.":[106],"The":[107],"matching":[108],"error":[109],"about":[111],"6%":[112],"average":[114],"while":[115],"tracking":[116],"posture":[118],"between":[119],"two":[120],"neighboring":[121],"frames.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
