[IPOL announce] new article: Robust Optical Flow Estimation

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2013/21/

Robust Optical Flow Estimation
by Javier Sánchez Pérez, Nelson Monzón López, Agustín Salgado de la Nuez
Image Processing On Line, vol. 2013, pp. 242-260.
http://dx.doi.org/10.5201/ipol.2013.21

Abstract
In this work, we describe an implementation of the variational method 
proposed by Brox et al. in 2004, which yields accurate optical flows 
with low running times. It has several benefits with respect to the 
method of Horn and Schunck: it is more robust to the presence of 
outliers, produces piecewise-smooth flow fields and can cope with 
constant brightness changes. This method relies on the brightness and 
gradient constancy assumptions, using the information of the image 
intensities and the image gradients to find correspondences. It also 
generalizes the use of continuous L1 functionals, which help mitigate 
the effect of outliers and create a Total Variation (TV) regularization. 
Additionally, it introduces a simple temporal regularization scheme that 
enforces a continuous temporal coherence of the flow fields.




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