TV-L1 Optical Flow Estimation
Javier Sánchez Pérez, Enric Meinhardt-Llopis, Gabriele Facciolo
→ BibTeX 
@article{ipol.2013.26,
    title   = {{TV-L1 Optical Flow Estimation}},
    author  = {Sánchez Pérez, Javier and Meinhardt-Llopis, Enric and Facciolo, Gabriele},
    journal = {{Image Processing On Line}},
    volume  = {3},
    pages   = {137--150},
    year    = {2013},
    doi     = {10.5201/ipol.2013.26},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2013.26}}
published
2013-07-19
reference
Javier Sánchez Pérez, Enric Meinhardt-Llopis, and Gabriele Facciolo, TV-L1 Optical Flow Estimation, Image Processing On Line, 3 (2013), pp. 137–150. https://doi.org/10.5201/ipol.2013.26

Communicated by Luis Alvarez
Demo edited by Enric Meinhardt-Llopis

Abstract

This article describes an implementation of the optical flow estimation method introduced by Zach, Pock and Bischof in 2007. This method is based on the minimization of a functional containing a data term using the L1 norm and a regularization term using the total variation of the flow. The main feature of this formulation is that it allows discontinuities in the flow field, while being more robust to noise than the classical approach of Horn and Schunck. The algorithm is an efficient numerical scheme, which solves a relaxed version of the problem by alternate minimization.

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