{"id":1745,"date":"2010-11-29T15:03:23","date_gmt":"2010-11-29T15:03:23","guid":{"rendered":"http:\/\/hgpu.org\/?p=1745"},"modified":"2010-11-29T15:03:23","modified_gmt":"2010-11-29T15:03:23","slug":"particle-filter-on-gpus-for-real-time-tracking","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=1745","title":{"rendered":"Particle filter on GPUs for real-time tracking"},"content":{"rendered":"<p>In this work, we have designed and implemented a preliminary real-time particle filter algorithm that makes use of a GPU to execute the algorithm&#8217;s main performance bottleneck. Our strategy uses a texture multiplication for reducing the computational efforts generated by a sequential evaluation. This work presents some similarities with the work of [Oh and Jung 2004] applied to GPU implementation of neural networks.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this work, we have designed and implemented a preliminary real-time particle filter algorithm that makes use of a GPU to execute the algorithm&#8217;s main performance bottleneck. Our strategy uses a texture multiplication for reducing the computational efforts generated by a sequential evaluation. This work presents some similarities with the work of [Oh and Jung [&hellip;]<\/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":[11,73,3],"tags":[1782,1791],"class_list":["post-1745","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-computer-vision","category-paper","tag-computer-science","tag-computer-vision"],"views":1795,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/1745","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=1745"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/1745\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1745"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1745"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1745"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}