| Paper: | IMDSP-P10.8 | ||
| Session: | Video Segmentation and Tracking | ||
| Time: | Thursday, May 18, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Video Segmentation and Tracking | ||
| Title: | Motion Based Correspondence for 3D Tracking of Multiple Dim Objects | ||
| Authors: | Ashok Veeraraghavan, University of Maryland, United States; Mandyam Srinivasan, Australian National University, Australia; Rama Chellappa, University of Maryland, United States; Emily Baird, Richard Lamont, Australian National University, Australia | ||
| Abstract: | Tracking multiple objects in a video is a demanding task that is frequently encountered in several systems such as surveillence and motion analysis. Ability to track objects in 3D requires the use of multiple cameras. While tracking multiple objects using multiples video cameras, establishing correspondence between objects in the various cameras is a non-trivial task. Specifically, when the targets are dim or are very far away from the camera, appearance cannot be used in order to establish this correspondence. Here, we propose a technique to establish correspondence across cameras using the motion features extracted from the targets, even when the relative position of the cameras is unknown. Experimental results are provided for the problem of tracking multiple bees in natural flight using two cameras. The reconstructed 3D flight paths of the bees show some interesting flight patterns. | ||
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