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Motion Estimation Based on Hidden Segmentation
Mikhail MOZEROV Vitaly KOBER
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2005/05/01
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Digital Signal Processing
motion estimation, dynamic programming, matching,
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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.