Long-range video motion estimation using point trajectories
Name
154316374-MIT.pdf
Description
Full printable version
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11.71 MB
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Checksum (MD5)
0f7fca46988737ebe06ed809b1526fc2
Author(s)
Sand, Peter (Peter M.), 1977-
Advisor(s)
Seth Teller.
Date Issued
2006
Publisher
Massachusetts Institute of Technology
Abstract
This thesis describes 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.
Description
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Includes bibliographical references (leaves 97-104).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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