{"id":"https://openalex.org/W2126022292","doi":"https://doi.org/10.1109/cvpr.2008.4587580","title":"Physical simulation for probabilistic motion tracking","display_name":"Physical simulation for probabilistic motion tracking","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2126022292","doi":"https://doi.org/10.1109/cvpr.2008.4587580","mag":"2126022292"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5020341592","display_name":"Marek Vondrak","orcid":null},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]},{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Marek Vondrak","raw_affiliation_strings":["Brown University, USA","Brown University, Providence, RI,"],"affiliations":[{"raw_affiliation_string":"Brown University, USA","institution_ids":["https://openalex.org/I175594653"]},{"raw_affiliation_string":"Brown University, Providence, RI,","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053011888","display_name":"Leonid Sigal","orcid":"https://orcid.org/0000-0002-3942-2804"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Leonid Sigal","raw_affiliation_strings":["University of Toronto, Canada","University Of Toronto , USA"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"University Of Toronto , USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071106238","display_name":"Odest Chadwicke Jenkins","orcid":"https://orcid.org/0000-0003-3750-7334"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]},{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Odest Chadwicke Jenkins","raw_affiliation_strings":["Brown University, USA","Brown University, USA)"],"affiliations":[{"raw_affiliation_string":"Brown University, USA","institution_ids":["https://openalex.org/I175594653"]},{"raw_affiliation_string":"Brown University, USA)","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020341592"],"corresponding_institution_ids":["https://openalex.org/I175594653","https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":18.4448,"has_fulltext":false,"cited_by_count":116,"citation_normalized_percentile":{"value":0.99472318,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9990000128746033,"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/T12290","display_name":"Human Motion and Animation","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/computer-science","display_name":"Computer science","score":0.701348066329956},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6685590744018555},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.639169454574585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.559403121471405},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5225919485092163},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5143603086471558},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5100205540657043},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.506665050983429},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.49840760231018066},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4809774160385132},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4639875888824463},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4518902897834778},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44772157073020935},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4428315758705139},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.4357641041278839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18450665473937988},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12336993217468262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.701348066329956},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6685590744018555},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.639169454574585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.559403121471405},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5225919485092163},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5143603086471558},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5100205540657043},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.506665050983429},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.49840760231018066},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4809774160385132},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4639875888824463},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4518902897834778},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44772157073020935},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4428315758705139},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.4357641041278839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18450665473937988},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12336993217468262},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2008.4587580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:ADA480848","is_oa":false,"landing_page_url":"http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA480848","pdf_url":null,"source":{"id":"https://openalex.org/S4406923043","display_name":"Defense Technical Information Center (DTIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DTIC","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W141410139","https://openalex.org/W172111463","https://openalex.org/W1483307070","https://openalex.org/W1969132943","https://openalex.org/W1986607338","https://openalex.org/W2001165022","https://openalex.org/W2006178360","https://openalex.org/W2052065843","https://openalex.org/W2067595006","https://openalex.org/W2089619576","https://openalex.org/W2107628931","https://openalex.org/W2108825216","https://openalex.org/W2120894402","https://openalex.org/W2125298102","https://openalex.org/W2131938593","https://openalex.org/W2135227322","https://openalex.org/W2138057384","https://openalex.org/W2152926413","https://openalex.org/W2158638750","https://openalex.org/W2163301840","https://openalex.org/W2540133481","https://openalex.org/W4235246534","https://openalex.org/W4236062063","https://openalex.org/W4285719527","https://openalex.org/W6606897354"],"related_works":["https://openalex.org/W3196329781","https://openalex.org/W4207023496","https://openalex.org/W585325435","https://openalex.org/W2648057","https://openalex.org/W4317826877","https://openalex.org/W2032880931","https://openalex.org/W2740961807","https://openalex.org/W4322774593","https://openalex.org/W2083041801","https://openalex.org/W2940838941"],"abstract_inverted_index":{"Human":[0],"motion":[1,21,68,81,98,129],"tracking":[2,47],"is":[3,40],"an":[4],"important":[5],"problem":[6],"in":[7,45,139],"computer":[8],"vision.":[9],"Most":[10],"prior":[11,20,64],"approaches":[12],"have":[13],"concentrated":[14],"on":[15],"efficient":[16,137],"inference":[17,138],"algorithms":[18],"and":[19,70,103,109,133,167,175,182],"models;":[22],"however,":[23],"few":[24],"can":[25],"explicitly":[26,66],"account":[27],"for":[28],"physical":[29,43,62],"plausibility":[30,44],"of":[31,37,48,100,111,170],"recovered":[32],"motion.":[33],"The":[34],"primary":[35],"purpose":[36],"this":[38,55,90],"work":[39],"to":[41,82,117,125,150,162,191],"enforce":[42],"the":[46,73,79,96,101,104,107,140,152,164,171],"a":[49,59,86,157],"single":[50],"articulated":[51],"human":[52,102,128],"subject.":[53],"Towards":[54],"end,":[56],"we":[57,145,159],"propose":[58],"full-body":[60],"3D":[61],"simulation-based":[63],"that":[65,184],"incorporates":[67],"control":[69,91,148],"dynamics":[71,99],"into":[72],"Bayesian":[74,193],"filtering":[75,194],"framework.":[76],"We":[77,178],"consider":[78],"humanpsilas":[80],"be":[83],"generated":[84],"by":[85],"ldquocontrol":[87],"looprdquo.":[88],"In":[89],"loop,":[92],"Newtonian":[93],"physics":[94],"approximates":[95],"rigid-body":[97],"environment":[105,134],"through":[106],"application":[108],"integration":[110],"forces.":[112],"Collisions":[113],"generate":[114],"interaction":[115],"forces":[116],"prevent":[118],"physically":[119],"impossible":[120],"hypotheses.":[121],"This":[122],"allows":[123],"us":[124],"properly":[126],"model":[127],"dynamics,":[130],"ground":[131],"contact":[132],"interactions.":[135],"For":[136],"resulting":[141],"high-dimensional":[142],"state":[143,169],"space,":[144],"introduce":[146],"exemplar-based":[147],"strategy":[149],"reduce":[151],"effective":[153],"search":[154],"space.":[155],"As":[156],"result":[158],"are":[160],"able":[161],"recover":[163],"physically-plausible":[165],"kinematic":[166],"dynamic":[168],"body":[172],"from":[173],"monocular":[174],"multi-view":[176],"imagery.":[177],"show,":[179],"both":[180],"quantitatively":[181],"qualitatively,":[183],"our":[185],"approach":[186],"performs":[187],"favorably":[188],"with":[189],"respect":[190],"standard":[192],"methods.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":11}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}