Thesis Defense: Long-Range Video Motion Estimation using Point Trajectories

Speaker: Peter Sand , MIT - CSAIL - Computer Graphics Group
Date: Tuesday, May 9 2006
Time: 4:15PM to 5:15PM
Refreshments: 4:00PM
Location: 32-D463 (Star)
Host: Seth Teller, MIT - CSAIL - CGG & RVSN
Contact: Britton 'Bryt' Bradley, 617-253-6583, bryt@csail.mit.edu
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This talk presents a new approach to video motion estimation, in which motion is represented using a set of particles. Each particle is an image point sample with a
long-duration trajectory and other properties. To optimize these particles, we measure point-based matching along the particle trajectories and distortion between the particles. The resulting motion representation is useful for a variety of applications and differs from optical flow, feature tracking, and parametric or layer-based models. We demonstrate the algorithm on challenging real-world videos
that include complex scene geometry, multiple types of occlusion, regions with low texture, and non-rigid deformation.

Thesis Supervisor: Seth Teller
Committee: Berthold K.P. Horn, William Freeman