[IPOL announce] new article: Joint TV-L1 Optical Flow and Occlusion Estimation

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2019/118/

Juan Francisco Garamendi, Vanel Lazcano, and Coloma Ballester,
Joint TV-L1 Optical Flow and Occlusion Estimation,
Image Processing On Line, 9 (2019), pp. 432–452.
https://doi.org/10.5201/ipol.2019.118

Abstract
This document describes an implementation of the energy functional 
minimization proposed by Ballester, Garrido, Lazcano and Caselles for 
joint optical flow and occlusion estimation. The method build up from 
the ideas behind the TV-L1 approach introduced by Zach, Pock and Bischof 
in 2007 but incorporating information that allows to detect occlusions. 
This information is based on the divergence of the flow and the proposed 
energy favors the location of occlusions on regions where this 
divergence is negative. The implemented variational method uses three 
consecutive frames. The energy functional is composed of regularization 
terms using the total variation, a data term using the L1 norm, and a 
term dealing with the occlusions. In the present implementation, we 
solve the stationary system of partial differential equations arising 
from the dual minimization problem associated with the TV operator by a 
variation of the box relaxation numerical scheme proposed by Garamendi, 
Gaspar, Malpica and Schiavi. This makes the overall algorithm faster 
than previous implementations based on a gradient descent method.