Motion Estimation Based on Hidden Segmentation
M. G. Mozerov · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · 2005
A new algorithm for computing precise estimates of the motion vectors of moving objects in a sequence of images is presented. The proposed method is a fusion of block-matching motion estimation and global optimization technique. To avoid some contradictions between global optimization techniques and piece-wise smooth values of sought motion vectors, a hidden segmentation model is utilized. Computer simulation and experimental results demonstrate a good performance of the method in terms of dynamic motion analysis.