{"id":"https://openalex.org/W2103844381","doi":"https://doi.org/10.1109/icassp.2009.4959950","title":"Multi-view tracking of articulated human motion in silhouette and pose manifolds","display_name":"Multi-view tracking of articulated human motion in silhouette and pose manifolds","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2103844381","doi":"https://doi.org/10.1109/icassp.2009.4959950","mag":"2103844381"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal 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/A5101556960","display_name":"Feng Guo","orcid":"https://orcid.org/0000-0001-8131-9301"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Feng Guo","raw_affiliation_strings":["Arts, Media and Engineering Program and Department of Electrical Engineering, Arizona State University, Tempe, AZ, USA","Arts, Media and Engineering Program and, Department of Electrical Engineering, Arizona State University, Tempe, 85281 USA"],"affiliations":[{"raw_affiliation_string":"Arts, Media and Engineering Program and Department of Electrical Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arts, Media and Engineering Program and, Department of Electrical Engineering, Arizona State University, Tempe, 85281 USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785723","display_name":"Gang Qian","orcid":"https://orcid.org/0000-0002-2201-461X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Qian","raw_affiliation_strings":["Arts, Media and Engineering Program and Department of Electrical Engineering, Arizona State University, Tempe, AZ, USA","Arts, Media and Engineering Program and, Department of Electrical Engineering, Arizona State University, Tempe, 85281 USA"],"affiliations":[{"raw_affiliation_string":"Arts, Media and Engineering Program and Department of Electrical Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arts, Media and Engineering Program and, Department of Electrical Engineering, Arizona State University, Tempe, 85281 USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101556960"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13646002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1781","last_page":"1784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T12290","display_name":"Human Motion and Animation","score":0.998199999332428,"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":0.9945999979972839,"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/silhouette","display_name":"Silhouette","score":0.8156870007514954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7687636613845825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6950769424438477},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.657972514629364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5628059506416321},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.557639479637146},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5380083918571472},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5321611166000366},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4823252856731415},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.46645182371139526},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.45688799023628235},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43204420804977417},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43097275495529175},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3291897177696228},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.32843437790870667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3209493160247803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32038530707359314},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.20359325408935547}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.8156870007514954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7687636613845825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6950769424438477},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.657972514629364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5628059506416321},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.557639479637146},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5380083918571472},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5321611166000366},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4823252856731415},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.46645182371139526},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.45688799023628235},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43204420804977417},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43097275495529175},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3291897177696228},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.32843437790870667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3209493160247803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32038530707359314},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.20359325408935547},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/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/icassp.2009.4959950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332169","display_name":"Directorate for Computer and Information Science and Engineering","ror":"https://ror.org/025kzpk63"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2067752346","https://openalex.org/W2076869384","https://openalex.org/W2097412577","https://openalex.org/W2099338527","https://openalex.org/W2124609748","https://openalex.org/W2125457700","https://openalex.org/W2126553322","https://openalex.org/W2137674454","https://openalex.org/W2146819802","https://openalex.org/W2152386463","https://openalex.org/W2158268505","https://openalex.org/W2158638750","https://openalex.org/W2164942161","https://openalex.org/W2165653644","https://openalex.org/W2166063021","https://openalex.org/W2169779569","https://openalex.org/W3141021069"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1906975550","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W4399172464","https://openalex.org/W1992295166","https://openalex.org/W2143508933"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,77],"multi-view":[4],"articulated":[5],"human":[6],"motion":[7],"tracking":[8,41],"framework":[9],"using":[10,34,57,74,76,88,96],"particle":[11],"filter":[12],"with":[13,99],"manifold":[14],"learning":[15],"through":[16,86],"Gaussian":[17,35],"process":[18,36],"latent":[19],"variable":[20],"model.":[21],"The":[22,43],"dimensionality":[23],"of":[24,64,106],"the":[25,40,49,104,107],"input":[26],"image":[27],"observation":[28],"and":[29,45,61,70],"joint":[30],"angles":[31],"are":[32,54,72],"reduced":[33],"models":[37],"to":[38],"improve":[39],"efficiency.":[42],"forward":[44],"backward":[46],"mappings":[47],"between":[48],"two":[50],"low":[51],"dimensional":[52],"spaces":[53],"then":[55],"obtained":[56,73,85,95],"relevance":[58],"vector":[59],"machine":[60],"Batesian":[62],"mixture":[63],"experts":[65],"(BME).":[66],"Improved":[67],"sampling":[68],"schemes":[69],"auto-initialization":[71],"BME.Without":[75],"3D":[78],"body":[79],"model,":[80],"effective":[81],"likelihood":[82],"evaluation":[83],"is":[84],"RVM":[87],"images":[89],"from":[90],"multiple":[91],"views.":[92],"Tracking":[93],"results":[94],"real":[97],"videos":[98],"complex":[100],"dance":[101],"movement":[102],"show":[103],"efficacy":[105],"proposed":[108],"approach.":[109]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
