{"id":7003,"date":"2012-01-23T01:11:12","date_gmt":"2012-01-22T23:11:12","guid":{"rendered":"http:\/\/hgpu.org\/?p=7003"},"modified":"2012-01-23T01:11:12","modified_gmt":"2012-01-22T23:11:12","slug":"faster-upper-body-pose-estimation-using-cuda","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=7003","title":{"rendered":"Faster Upper Body Pose Estimation Using CUDA"},"content":{"rendered":"<p>Determining upper body poses using computer vision can have long execution times when using traditional linear methods on the CPU. This paper shows how parallel processing methods, and in particular the usage of a GPU API called CUDA, can increase system performance.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Determining upper body poses using computer vision can have long execution times when using traditional linear methods on the CPU. This paper shows how parallel processing methods, and in particular the usage of a GPU API called CUDA, can increase system performance.<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,73,89,3],"tags":[1782,1791,14,20],"class_list":["post-7003","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-computer-vision","category-nvidia-cuda","category-paper","tag-computer-science","tag-computer-vision","tag-cuda","tag-nvidia"],"views":1879,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7003","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7003"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7003\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7003"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7003"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7003"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}