Optical Flow and Trajectory Estimation Methods

This brief focuses on two main problems in the domain of optical flow and trajectory estimation: (i) The problem of finding convex optimization methods to apply sparsity to optical flow; and (ii) The problem of how to extend sparsity to improve trajectories in a computationally tractable way.Beginning with a review of optical flow fundamentals, it discusses the commonly used flow estimation strategies and the advantages or shortcomings of each. The brief also introduces the concepts associated with sparsity including dictionaries and low rank matrices.

Optical Flow and Trajectory Estimation Methods features in the following genres: Image processing

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Optical Flow and Trajectory Estimation Methods was written by Joel Gibson, Oge Marques and published by Springer an imprint of Springer International Publishing

Optical Flow and Trajectory Estimation Methods has 49 pages

Yes it is part of SpringerBriefs in Computer Science series