We address the question of how to choose between different likelihood functions for motion estimation. To this end, we formulate motion estimation as a problem of Bayesian inferen...
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...
We propose a segmentation-based method of object tracking using image warping and Kalman filtering. The object region is defined to include a group of patches, which are obtained ...
Applications such as traffic surveillance require a real-time and accurate method for object tracking. We propose to represent scene observations with parabola segments with an alg...
Francis Deboeverie, Kristof Teelen, Peter Veelaert...
The purpose of this paper is to develop a motionbased segmentation for digital image sequences that is based on continuous wavelet transform. Continuous wavelet transform allows e...
Mingqi Kong, Jean-Pierre Leduc, Bijoy K. Ghosh, M....