{"id":607,"date":"2017-07-26T08:33:19","date_gmt":"2017-07-26T07:33:19","guid":{"rendered":"http:\/\/babel.isa.uma.es\/kipr\/?p=607"},"modified":"2017-07-26T08:33:19","modified_gmt":"2017-07-26T07:33:19","slug":"a-method-to-model-trajectories-that-captures-its-essential-parameters-for-comparisons-clustering-etc","status":"publish","type":"post","link":"https:\/\/babel.isa.uma.es\/kipr\/?p=607","title":{"rendered":"A method to model trajectories that captures its essential parameters (for comparisons, clustering, etc.)"},"content":{"rendered":"

W. Lin et al., “A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories,”<\/strong> in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 8, pp. 1489-1503, Aug. 1 2017.DOI: 10.1109\/TPAMI.2016.2608884<\/a>.<\/h4>\n

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 first leverages the complete information from given trajectories to construct a thermal transfer field 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 field. 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 unified 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 classification & abnormality detection, and 3D action recognition. Experimental comparisons with state-of-the-art algorithms demonstrate the effectiveness of our approach.<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"

W. Lin et al., “A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories,” in IEEE Transactions on Pattern Analysis and …<\/span> Read More →<\/span><\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23],"tags":[251],"class_list":["post-607","post","type-post","status-publish","format-standard","hentry","category-robot-motion-planning","tag-trajectories"],"_links":{"self":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/607"}],"collection":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=607"}],"version-history":[{"count":1,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/607\/revisions"}],"predecessor-version":[{"id":608,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=\/wp\/v2\/posts\/607\/revisions\/608"}],"wp:attachment":[{"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=607"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=607"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/babel.isa.uma.es\/kipr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=607"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}