Motion and Appearance Nonparametric Joint Entropy for Video Segmentation

This paper deals with video segmentation based on motion and spatial information. Classically, the motion term is based on a motion compensation error (MCE) between two consecutive frames. Defining a motion-based energy as the integral of a function of the MCE over the object domain implicitly results in making an assumption on the MCE distribution: Gaussian for the square function and, more generally, parametric distributions for functions used in robust estimation. However, these assumptions are not necessarily appropriate. Instead, we propose to define the energy as a function of (an estimation of) the MCE distribution. This function was chosen to be a continuous version of the Ahmad-Lin entropy approximation, the purpose being to be more robust to outliers inherently present in the MCE. Since a motion-only constraint can fail with homogeneous objects, the motion-based energy is enriched with spatial information using a joint entropy formulation. The resulting energy is minimized i...

• Type: Journal
• Year: 2008
• Where: IJCV
• Authors: Sylvain Boltz, Ariane Herbulot, Eric Debreuve, Michel Barlaud, Gilles Aubert
• Keywords: IJCV 2006, IJCV 2008, MCE Distribution, Motion-based Energy, Spatial Information