{"id":187157,"date":"2011-10-07T00:00:00","date_gmt":"2012-01-10T11:38:37","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/the-kinects-body-part-recognition-algorithm-on-an-fpga\/"},"modified":"2018-08-14T11:20:21","modified_gmt":"2018-08-14T18:20:21","slug":"the-kinects-body-part-recognition-algorithm-on-an-fpga","status":"publish","type":"msr-video","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/video\/the-kinects-body-part-recognition-algorithm-on-an-fpga\/","title":{"rendered":"The Kinect\u2019s Body Part Recognition Algorithm on an FPGA"},"content":{"rendered":"<div class=\"asset-content\">\n<p>The Microsoft Kinect has received little to no attention by the hardware community, specifically those interested in reconfigurable hardware via field-programmable gate-arrays (FGPAs). This is likely due to both the lack of interfaces and to potential hardware applications. This research project takes a step forward in both directions. We present our findings with attempting to interface the Kinect device to a modern Xilinx MLxxx development board; a common platform for hardware development using FPGAs. In addition, and most importantly, we present a fully-functional hardware implementation of a body part recognition algorithm written entirely in a hardware descriptive language (HDL). The algorithm uses randomized decision trees for computing the probabilistic location of body parts on a human. We present a complete architecture for the design and present a hardware simulation. We predict significant speed-ups over even parallelized software versions of the algorithm and discuss future optimizations.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Microsoft Kinect has received little to no attention by the hardware community, specifically those interested in reconfigurable hardware via field-programmable gate-arrays (FGPAs). This is likely due to both the lack of interfaces and to potential hardware applications. This research project takes a step forward in both directions. We present our findings with attempting to [&hellip;]<\/p>\n","protected":false},"featured_media":196555,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[13561,13552],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-187157","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-algorithms","msr-research-area-hardware-devices","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/XQJ94iZCAvY","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/187157","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/187157\/revisions"}],"predecessor-version":[{"id":500747,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/187157\/revisions\/500747"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/media\/196555"}],"wp:attachment":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/media?parent=187157"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=187157"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=187157"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=187157"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=187157"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=187157"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=187157"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=187157"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=187157"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=187157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}