{"id":191104,"date":"2014-07-16T00:00:00","date_gmt":"2014-07-16T03:40:10","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/body-part-recognition-and-the-development-of-kinect\/"},"modified":"2016-07-15T15:17:57","modified_gmt":"2016-07-15T22:17:57","slug":"body-part-recognition-and-the-development-of-kinect","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/body-part-recognition-and-the-development-of-kinect\/","title":{"rendered":"Body Part Recognition and the Development of Kinect"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Late 2010, Microsoft launched Xbox Kinect, an amazing new depth-sensing camera and a revolution in gaming where your body movements allow you to control the game. In this talk I&#8217;ll present a behind-the-scenes look at the development of Kinect, focusing on the depth camera, the challenges of human pose estimation, and the body part recognition algorithm that drives Kinect&#8217;s skeletal tracking pipeline. Body part recognition uses machine learning to efficiently produce an interpretation of pixels coming from the Kinect camera into different parts of the body: head, left hand, right knee, etc. The approach was designed to be robust: firstly, the system is trained with a vast and highly varied training set of synthetic images to ensure the system works for all ages, body shapes & sizes, clothing and hair styles; and secondly, the recognition does not rely on any temporal information, allowing the system to initialize from arbitrary poses and preventing catastrophic loss of track.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Late 2010, Microsoft launched Xbox Kinect, an amazing new depth-sensing camera and a revolution in gaming where your body movements allow you to control the game. In this talk I&#8217;ll present a behind-the-scenes look at the development of Kinect, focusing on the depth camera, the challenges of human pose estimation, and the body part recognition [&hellip;]<\/p>\n","protected":false},"featured_media":198464,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-191104","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/QPYf6pXe_4Q","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191104"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/191104\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/198464"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=191104"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=191104"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=191104"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=191104"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=191104"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=191104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}