{"id":"https://openalex.org/W2128482493","doi":"https://doi.org/10.1109/cvpr.2008.4587617","title":"Randomized trees for human pose detection","display_name":"Randomized trees for human pose detection","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2128482493","doi":"https://doi.org/10.1109/cvpr.2008.4587617","mag":"2128482493"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587617","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":"conference-paper","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/A5085685227","display_name":"Gr\u00e9gory Rogez","orcid":"https://orcid.org/0000-0002-2275-2129"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gregory Rogez","raw_affiliation_strings":["Computer Vision Lab-I3A, University of Zaragoza, Spain","Comput. Vision Lab., Zaragoza Univ., Zaragoza"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Lab-I3A, University of Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]},{"raw_affiliation_string":"Comput. Vision Lab., Zaragoza Univ., Zaragoza","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069636968","display_name":"Jonathan Rihan","orcid":null},"institutions":[{"id":"https://openalex.org/I124261462","display_name":"Oxford Brookes University","ror":"https://ror.org/04v2twj65","country_code":"GB","type":"education","lineage":["https://openalex.org/I124261462"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jonathan Rihan","raw_affiliation_strings":["Department of Computing, Oxford Brookes University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Oxford Brookes University, UK","institution_ids":["https://openalex.org/I124261462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101811303","display_name":"Srikumar Ramalingam","orcid":"https://orcid.org/0000-0002-2844-4119"},"institutions":[{"id":"https://openalex.org/I124261462","display_name":"Oxford Brookes University","ror":"https://ror.org/04v2twj65","country_code":"GB","type":"education","lineage":["https://openalex.org/I124261462"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Srikumar Ramalingam","raw_affiliation_strings":["Department of Computing, Oxford Brookes University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Oxford Brookes University, UK","institution_ids":["https://openalex.org/I124261462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064743228","display_name":"Carlos Orrite","orcid":"https://orcid.org/0000-0002-0903-5520"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Orrite","raw_affiliation_strings":["Computer Vision Lab-I3A, University of Zaragoza, Spain","Comput. Vision Lab., Zaragoza Univ., Zaragoza"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Lab-I3A, University of Zaragoza, Spain","institution_ids":["https://openalex.org/I255234318"]},{"raw_affiliation_string":"Comput. Vision Lab., Zaragoza Univ., Zaragoza","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001534492","display_name":"Philip H. S. Torr","orcid":null},"institutions":[{"id":"https://openalex.org/I124261462","display_name":"Oxford Brookes University","ror":"https://ror.org/04v2twj65","country_code":"GB","type":"education","lineage":["https://openalex.org/I124261462"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip H.S. Torr","raw_affiliation_strings":["Department of Computing, Oxford Brookes University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Oxford Brookes University, UK","institution_ids":["https://openalex.org/I124261462"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":177,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7500923275947571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7266708016395569},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6561437845230103},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6134228706359863},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5957114696502686},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5877945423126221},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5789134502410889},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5635749697685242},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5415953993797302},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5380534529685974},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4954260587692261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4897933006286621},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46566295623779297},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4509704113006592},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4110007584095001},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3970186710357666},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2756650745868683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1799088716506958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7500923275947571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7266708016395569},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6561437845230103},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6134228706359863},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5957114696502686},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5877945423126221},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5789134502410889},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5635749697685242},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5415953993797302},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5380534529685974},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4954260587692261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4897933006286621},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46566295623779297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4509704113006592},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4110007584095001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3970186710357666},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2756650745868683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1799088716506958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/cvpr.2008.4587617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587617","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:oai:CiteSeerX.psu:10.1.1.301.2301","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.2301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2008/CVPR08/CVPR2008-RandomForest.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.407.9513","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.407.9513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/277.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.871.1348","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.871.1348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Gregory_Rogez/publication/221364981_Randomized_trees_for_human_pose_detection/links/02bfe5107f91334d28000000.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.881.1384","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.881.1384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Gregory_Rogez/publication/221364981_Randomized_trees_for_human_pose_detection/links/02bfe5107f91334d28000000.pdf?origin%3Dpublication_detail","raw_type":"text"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:8042069e-8d37-40d7-95e0-637dc521c432","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:8042069e-8d37-40d7-95e0-637dc521c432","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Conference item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311738","display_name":"Oxford Brookes University","ror":"https://ror.org/04v2twj65"},{"id":"https://openalex.org/F4320320290","display_name":"University of Oxford","ror":"https://ror.org/052gg0110"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W577435523","https://openalex.org/W1541388462","https://openalex.org/W1571578421","https://openalex.org/W1851258275","https://openalex.org/W1972484018","https://openalex.org/W1976259655","https://openalex.org/W1992047056","https://openalex.org/W1992825118","https://openalex.org/W2099355420","https://openalex.org/W2103636892","https://openalex.org/W2108825216","https://openalex.org/W2109799729","https://openalex.org/W2115212129","https://openalex.org/W2120240539","https://openalex.org/W2123503110","https://openalex.org/W2123533187","https://openalex.org/W2125489247","https://openalex.org/W2126553322","https://openalex.org/W2135735112","https://openalex.org/W2148522623","https://openalex.org/W2148596671","https://openalex.org/W2151103935","https://openalex.org/W2152926413","https://openalex.org/W2154958707","https://openalex.org/W2158866619","https://openalex.org/W2161969291","https://openalex.org/W2169671170","https://openalex.org/W2171184283","https://openalex.org/W2440105400","https://openalex.org/W2543161586","https://openalex.org/W2911964244","https://openalex.org/W3123784365","https://openalex.org/W3146358763","https://openalex.org/W4239328123","https://openalex.org/W6632348356","https://openalex.org/W6639205220","https://openalex.org/W6675590928","https://openalex.org/W6679081459","https://openalex.org/W6680291759"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"This":[0],"paper":[1,124],"addresses":[2],"human":[3],"pose":[4,74],"recognition":[5],"from":[6],"video":[7],"sequences":[8],"by":[9,56,91,139],"formulating":[10],"it":[11],"as":[12],"a":[13,40,58,73,88,110],"classification":[14],"problem.":[15],"Unlike":[16],"much":[17],"previous":[18],"work":[19,37],"we":[20,53,108,125],"do":[21],"not":[22],"make":[23],"any":[24],"assumptions":[25],"on":[26,78],"the":[27,45,96,105,117,144],"availability":[28],"of":[29,35,43,104,112,119,128,137,143],"clean":[30],"segmentation.":[31],"The":[32],"first":[33],"step":[34],"this":[36,123],"consists":[38],"in":[39,122],"novel":[41],"method":[42],"aligning":[44],"training":[46,120],"images":[47],"using":[48,116],"3D":[49],"Mocap":[50],"data.":[51],"Next":[52],"define":[54],"classes":[55,97],"discretizing":[57],"2D":[59],"manifold":[60],"whose":[61],"two":[62],"dimensions":[63],"are":[64],"camera":[65],"viewpoint":[66],"and":[67,94,160],"actions.":[68],"Our":[69,151],"main":[70],"contribution":[71],"is":[72,84],"detection":[75],"algorithm":[76],"based":[77],"random":[79],"forests.":[80],"A":[81],"bottom-up":[82],"approach":[83,153],"followed":[85],"to":[86],"build":[87,109],"decision":[89,106],"tree":[90,107],"recursively":[92],"clustering":[93],"merging":[95],"at":[98,148],"each":[99,102,149],"level.":[100],"For":[101],"node":[103],"list":[111],"potentially":[113],"discriminative":[114],"features":[115],"alignment":[118],"images;":[121],"consider":[126],"Histograms":[127],"Orientated":[129],"Gradient":[130],"(HOG).":[131],"We":[132],"finally":[133],"grow":[134],"an":[135],"ensemble":[136],"trees":[138],"randomly":[140],"sampling":[141],"one":[142],"selected":[145],"HOG":[146],"blocks":[147],"node.":[150],"proposed":[152],"gives":[154],"promising":[155],"results":[156],"with":[157],"both":[158],"fixed":[159],"moving":[161],"cameras.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":10}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}