{"id":373190,"date":"2017-03-22T18:35:27","date_gmt":"2017-03-23T01:35:27","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=373190"},"modified":"2018-10-16T20:09:30","modified_gmt":"2018-10-17T03:09:30","slug":"tube-droplet-based-approach-representing-analyzing-motion-trajectories","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/tube-droplet-based-approach-representing-analyzing-motion-trajectories\/","title":{"rendered":"A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories"},"content":{"rendered":"<p>Trajectory analysis is essential in many applications. In this paper, we address the problem of representing motion trajectories in a highly informative way, and consequently utilize it for analyzing trajectories. Our approach \ufb01rst leverages the complete information from given trajectories to construct a thermal transfer \ufb01eld which provides a context rich way to describe the global motion pattern in a scene. Then, a 3D tube is derived which depicts an input trajectory by integrating its surrounding motion patterns contained in the thermal transfer \ufb01eld. The 3D tube effectively: 1) maintains the movement information of a trajectory, 2) embeds the complete contextual motion pattern around a trajectory, 3) visualizes information about a trajectory in a clear and uni\ufb01ed way. We further introduce a droplet-based process. It derives a droplet vector from a 3D tube, so as to characterize the high-dimensional 3D tube information in a simple but effective way. Finally, we apply our tube-and-droplet representation to trajectory analysis applications including trajectory clustering, trajectory classi\ufb01cation & abnormality detection, and 3D action recognition. Experimental comparisons with state-of-the art algorithms demonstrate the effectiveness of our approach.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Trajectory analysis is essential in many applications. In this paper, we address the problem of representing motion trajectories in a highly informative way, and consequently utilize it for analyzing trajectories. Our approach \ufb01rst leverages the complete information from given trajectories to construct a thermal transfer \ufb01eld which provides a context rich way to describe the [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"IEEE Transactions on Pattern Analysis and Machine 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