{"id":302603,"date":"2014-11-01T12:32:26","date_gmt":"2014-11-01T19:32:26","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=302603"},"modified":"2016-10-21T15:17:16","modified_gmt":"2016-10-21T22:17:16","slug":"crossmotion-fusing-device-image-motion-user-identification-tracking-device-association","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/crossmotion-fusing-device-image-motion-user-identification-tracking-device-association\/","title":{"rendered":"CrossMotion: Fusing Device and Image Motion for User Identification, Tracking and Device Association"},"content":{"rendered":"<p>Identifying and tracking people and mobile devices indoors has many applications, but is still a challenging problem. We introduce a cross-modal sensor fusion approach to track mobile devices and the users carrying them. The CrossMotion technique matches the acceleration of a mobile device, as measured by an onboard internal measurement unit, to similar acceleration observed in the infrared and depth images of a Microsoft Kinect v2 camera. This matching process is conceptually simple and avoids many of the difficulties typical of more common appearance-based approaches. In particular, CrossMotion does not require a model of the appearance of either the user or the device, nor in many cases a direct line of sight to the device. We demonstrate a real time implementation that can be applied to many ubiquitous computing scenarios. In our experiments, CrossMotion found the person\u2019s body 99% of the time, on average within 7cm of a reference device position.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Identifying and tracking people and mobile devices indoors has many applications, but is still a challenging problem. We introduce a cross-modal sensor fusion approach to track mobile devices and the users carrying them. The CrossMotion technique matches the acceleration of a mobile device, as measured by an onboard internal measurement unit, to similar acceleration observed [&hellip;]<\/p>\n","protected":false},"featured_media":309860,"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":[13562,13552],"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-302603","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-computer-vision","msr-research-area-hardware-devices","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/yHXlhutEI-E","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/302603","targetHints":{"allow":["GET"]}}],"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\/302603\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/309860"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=302603"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=302603"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=302603"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=302603"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=302603"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=302603"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=302603"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=302603"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=302603"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=302603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}