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Technical Program
Paper Detail
| Paper: | WP-L1.3 |
| Session: | Video Object Tracking |
| Time: | Wednesday, October 11, 15:00 - 15:20 |
| Presentation: |
Lecture
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| Title: |
SHAPE-REGULATED PARTICLE FILTERING FOR TRACKING NON-RIGID OBJECTS |
| Authors: |
Jie Shao; University of Maryland | | | | | Rama Chellappa; University of Maryland | | | | | Fatih Porikli; Mitsubishi Electric Research Labs | | |
| Abstract: |
This paper presents an active contour based algorithm for tracking non-rigid objects in heavily cluttered scenes. We decompose the non-rigid contour tracking problem into three subproblems: 2D motion estimation, deformation detection, and shape regulation. First, we employ a particle filter to estimate the affine transform parameters between successive frames. Second, by using a dynamic object model, we generate a probabilistic map of deformation to reshape its contour. Finally, we project the updated model onto a trained shape subspace to constrain deformations to be within possible object appearances. Our experiments show that the proposed algorithm significantly improves the performance of tracking. |
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