{"id":"https://openalex.org/W1998758354","doi":"https://doi.org/10.1109/iccvw.2009.5457586","title":"Monocular 3D human pose estimation using sparse motion features","display_name":"Monocular 3D human pose estimation using sparse motion features","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W1998758354","doi":"https://doi.org/10.1109/iccvw.2009.5457586","mag":"1998758354"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2009.5457586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","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/A5007072989","display_name":"Ben Daubney","orcid":null},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ben Daubney","raw_affiliation_strings":["Department of Computer Science, University of Bristol, UK","Department of Computer Science,  University of Bristol , UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Department of Computer Science,  University of Bristol , UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053094139","display_name":"David Gibson","orcid":"https://orcid.org/0000-0002-7612-0530"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Gibson","raw_affiliation_strings":["Department of Computer Science, University of Bristol, UK","Department of Computer Science,  University of Bristol , UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Department of Computer Science,  University of Bristol , UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109857567","display_name":"Neill Campbell","orcid":null},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Neill Campbell","raw_affiliation_strings":["Department of Computer Science, University of Bristol, UK","Department of Computer Science,  University of Bristol , UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bristol, UK","institution_ids":["https://openalex.org/I36234482"]},{"raw_affiliation_string":"Department of Computer Science,  University of Bristol , UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007072989"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":0.9842,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76981259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1050","last_page":"1057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8458514213562012},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7752871513366699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7341952323913574},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6911047697067261},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6604534387588501},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.539205014705658},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5261214375495911},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5212974548339844},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5012180805206299},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.484867662191391},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48367413878440857},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.48166072368621826},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47203385829925537},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4571099877357483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3882073163986206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1936914622783661}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8458514213562012},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7752871513366699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341952323913574},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6911047697067261},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6604534387588501},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.539205014705658},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5261214375495911},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5212974548339844},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5012180805206299},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.484867662191391},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48367413878440857},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.48166072368621826},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47203385829925537},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4571099877357483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3882073163986206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1936914622783661},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iccvw.2009.5457586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.184.1866","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.184.1866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bris.ac.uk/%7Edaubney/PID965465.pdf","raw_type":"text"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/6b2af647-ef27-44cb-b5c2-a06ec359ad4d","is_oa":false,"landing_page_url":"https://hdl.handle.net/1983/6b2af647-ef27-44cb-b5c2-a06ec359ad4d","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Daubney, B, Gibson, D & Campbell, N 2009, Monocular 3D Human Pose Estimation using Sparse Motion Features. in IEEE worshop on Tracking Humans for Evaluation of their Motion in Image Sequences 2009 - Held in conjunction with ICCV. < http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2001108 >","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:research-information.bris.ac.uk:publications/6b2af647-ef27-44cb-b5c2-a06ec359ad4d","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/6b2af647-ef27-44cb-b5c2-a06ec359ad4d","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Daubney, B, Gibson, D & Campbell, N 2009, Monocular 3D Human Pose Estimation using Sparse Motion Features. in IEEE worshop on Tracking Humans for Evaluation of their Motion in Image Sequences 2009 - Held in conjunction with ICCV. < http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2001108 >","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G698696538","display_name":null,"funder_award_id":"EP/D506549/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1518641734","https://openalex.org/W1643263348","https://openalex.org/W1869835622","https://openalex.org/W2015218083","https://openalex.org/W2030536784","https://openalex.org/W2097412577","https://openalex.org/W2099634219","https://openalex.org/W2108825216","https://openalex.org/W2123503110","https://openalex.org/W2126022292","https://openalex.org/W2126553322","https://openalex.org/W2130103520","https://openalex.org/W2136606146","https://openalex.org/W2137043637","https://openalex.org/W2141218264","https://openalex.org/W2150095155","https://openalex.org/W2156783154","https://openalex.org/W2165715280","https://openalex.org/W2533739470","https://openalex.org/W6676319721","https://openalex.org/W6679388247","https://openalex.org/W7009134754"],"related_works":["https://openalex.org/W4307623796","https://openalex.org/W4394784820","https://openalex.org/W1501297619","https://openalex.org/W2026674073","https://openalex.org/W2053820737","https://openalex.org/W2370938709","https://openalex.org/W1484667368","https://openalex.org/W1988727984","https://openalex.org/W2114253841","https://openalex.org/W4205409207"],"abstract_inverted_index":{"In":[0],"this":[1,29],"paper":[2],"we":[3,170],"demonstrate":[4],"that":[5,48],"the":[6,34,40,76,97,130,147,165],"motion":[7,69,78,113],"of":[8,12,28,36,43,46,67,79,101,174],"a":[9,23,44,80,90,102],"sparse":[10],"set":[11,168],"tracked":[13,81],"features":[14],"can":[15,133],"be":[16,134],"used":[17,108],"to":[18,32,95,136,146],"extract":[19],"3D":[20,68],"pose":[21],"from":[22,112,124],"single":[24],"viewpoint.":[25],"The":[26,127],"purpose":[27],"work":[30],"is":[31,49,56,93,119,129],"illustrate":[33],"wealth":[35],"information":[37],"present":[38],"in":[39,104],"temporal":[41],"dimension":[42],"sequence":[45],"images":[47],"currently":[50],"not":[51],"being":[52],"exploited.":[53],"Our":[54],"approach":[55,92,132,158],"entirely":[57],"dependent":[58],"upon":[59],"motion.":[60],"We":[61,155],"use":[62],"low-level":[63],"part":[64],"detectors":[65],"consisting":[66],"models,":[70],"these":[71,87],"describe":[72],"probabilistically":[73],"how":[74],"well":[75],"observed":[77],"feature":[82],"fits":[83],"each":[84,105,181],"model.":[85],"Given":[86],"initial":[88],"detections":[89],"bottom-up":[91],"employed":[94],"find":[96],"most":[98],"likely":[99],"configuration":[100],"person":[103],"frame.":[106],"Models":[107],"are":[109],"learnt":[110],"directly":[111],"capture":[114],"data":[115,167],"and":[116,141,153,162,177],"no":[117],"training":[118],"performed":[120],"using":[121],"descriptors":[122],"derived":[123],"image":[125],"sequences.":[126],"result":[128],"presented":[131],"applied":[135],"people":[137],"moving":[138],"at":[139],"arbitrary":[140],"previously":[142],"unseen":[143],"orientations":[144],"relative":[145],"camera,":[148],"making":[149],"it":[150],"particularly":[151],"versatile":[152],"robust.":[154],"evaluate":[156],"our":[157],"for":[159,180],"both":[160],"walking":[161],"jogging":[163],"on":[164],"HumanEva":[166],"where":[169],"achieve":[171],"an":[172],"accuracy":[173],"65.8\u00b123.3":[175],"mm":[176,179],"69.4\u00b120.2":[178],"action":[182],"respectively.":[183]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
