{"id":"https://openalex.org/W3194070390","doi":"https://doi.org/10.1109/icip42928.2021.9506771","title":"Human Motion Enhancement via Tobit Particle Filtering and Differential Evolution","display_name":"Human Motion Enhancement via Tobit Particle Filtering and Differential Evolution","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3194070390","doi":"https://doi.org/10.1109/icip42928.2021.9506771","mag":"3194070390"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5101988792","display_name":"Le Zhou","orcid":"https://orcid.org/0000-0002-8726-6797"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Le Zhou","raw_affiliation_strings":["Oklahoma State University,School of Electrical and Computer Engineering,Stillwater,OK,74078"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University,School of Electrical and Computer Engineering,Stillwater,OK,74078","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077814150","display_name":"Nate Lannan","orcid":"https://orcid.org/0000-0002-7255-0453"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nate Lannan","raw_affiliation_strings":["Oklahoma State University,School of Electrical and Computer Engineering,Stillwater,OK,74078"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University,School of Electrical and Computer Engineering,Stillwater,OK,74078","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016996180","display_name":"Guoliang Fan","orcid":"https://orcid.org/0000-0002-8584-9040"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoliang Fan","raw_affiliation_strings":["Oklahoma State University,School of Electrical and Computer Engineering,Stillwater,OK,74078"],"affiliations":[{"raw_affiliation_string":"Oklahoma State University,School of Electrical and Computer Engineering,Stillwater,OK,74078","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101988792"],"corresponding_institution_ids":["https://openalex.org/I115475287"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55431373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3168","last_page":"3172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9969000220298767,"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/motion-capture","display_name":"Motion capture","score":0.7709658145904541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6619462966918945},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6408669948577881},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6262264251708984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6124192476272583},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5532287955284119},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5469347834587097},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.3879101872444153},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33782559633255005}],"concepts":[{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.7709658145904541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619462966918945},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6408669948577881},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6262264251708984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6124192476272583},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5532287955284119},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5469347834587097},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3879101872444153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33782559633255005},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W185322818","https://openalex.org/W1595159159","https://openalex.org/W1699954493","https://openalex.org/W2027807575","https://openalex.org/W2102236934","https://openalex.org/W2111067675","https://openalex.org/W2137017409","https://openalex.org/W2160337655","https://openalex.org/W2169757860","https://openalex.org/W2218617828","https://openalex.org/W2273626562","https://openalex.org/W2332287460","https://openalex.org/W2338710835","https://openalex.org/W2469134594","https://openalex.org/W2740987038","https://openalex.org/W2902552313","https://openalex.org/W2945265480","https://openalex.org/W2946913875","https://openalex.org/W2961195618","https://openalex.org/W3115641232","https://openalex.org/W3116498733","https://openalex.org/W6607574703","https://openalex.org/W6703715507","https://openalex.org/W6756965754","https://openalex.org/W6892414103"],"related_works":["https://openalex.org/W4252024964","https://openalex.org/W4253883008","https://openalex.org/W1827696521","https://openalex.org/W2173450654","https://openalex.org/W2039848376","https://openalex.org/W2621720158","https://openalex.org/W2091722187","https://openalex.org/W2006196742","https://openalex.org/W2130272765","https://openalex.org/W4401486264"],"abstract_inverted_index":{"This":[0,90],"paper":[1],"proposes":[2],"a":[3,16,58,94],"novel":[4],"approach":[5],"to":[6,29,39,44,62,78,84,93,120],"improve":[7,40],"the":[8,69,73,122],"quality":[9],"of":[10,102,124],"human":[11],"motion":[12,20],"data":[13,23],"captured":[14],"by":[15],"depth":[17],"sensor.":[18],"Depth-based":[19],"capture":[21],"(D-Mocap)":[22],"often":[24],"suffer":[25],"significant":[26],"errors":[27],"due":[28],"noise,":[30],"self-occlusion,":[31],"interference,":[32],"and":[33,49,81,104,116,129],"other":[34],"algorithmic":[35],"limitations.":[36],"We":[37,66,107],"aim":[38],"3D":[41],"joint":[42],"trajectories":[43],"be":[45,79],"more":[46],"kinematically":[47],"admissible":[48],"anthropometrically":[50],"consistent.":[51],"The":[52],"Tobit":[53],"model":[54],"is":[55],"incorporated":[56],"with":[57,111],"particle":[59],"filter":[60],"(TPF)":[61],"handle":[63],"censored":[64],"measurements.":[65],"also":[67],"embed":[68],"DE":[70],"algorithm":[71,97],"in":[72],"TPF,":[74],"which":[75],"allows":[76],"particles":[77],"re-distributed":[80],"re-weighted":[82],"according":[83],"bone":[85],"length":[86],"consistency":[87],"before":[88],"re-sampling.":[89],"integration":[91],"leads":[92],"new":[95],"TPF-DE":[96,125],"that":[98],"harmoniously":[99],"takes":[100],"advantage":[101],"kinematic":[103],"anthropometric":[105],"constraints.":[106],"compare":[108],"our":[109],"methods":[110,119],"several":[112],"nonlinear":[113],"Kalman":[114],"filters":[115],"deep":[117],"learning-based":[118],"demonstrate":[121],"efficacy":[123],"on":[126],"both":[127],"simulated":[128],"real-world":[130],"D-Mocap":[131],"data.":[132]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
