{"id":168385,"date":"2014-11-01T00:00:00","date_gmt":"2014-11-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/crossmotion-fusing-device-and-image-motion-for-user-identification-tracking-and-device-association\/"},"modified":"2019-09-25T10:06:07","modified_gmt":"2019-09-25T17:06:07","slug":"crossmotion-fusing-device-and-image-motion-for-user-identification-tracking-and-device-association","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/crossmotion-fusing-device-and-image-motion-for-user-identification-tracking-and-device-association\/","title":{"rendered":"CrossMotion: Fusing Device and Image Motion for User Identification, Tracking and Device Association"},"content":{"rendered":"<div class=\"asset-content\">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.<\/div>\n<p><!-- .asset-content --><\/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":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13562,13554],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-168385","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-computer-vision","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"ACM","msr_edition":"","msr_affiliation":"","msr_published_date":"2014-11-12","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"204591","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/p216-wilson.pdf","id":"204591","title":"p216-wilson.pdf","label_id":"243109","label":0},{"type":"doi","viewUrl":"false","id":"false","title":"10.1145\/2663204.2663270","label_id":"243106","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":204591,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/p216-wilson.pdf"}],"msr-author-ordering":[{"type":"edited_text","value":"Andrew D. 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