Motion Estimation Based on Hidden Segmentation(Digital Signal Processing)
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概要
- 論文の詳細を見る
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.
- 社団法人電子情報通信学会の論文
- 2005-05-01
著者
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Kober Vitaly
Department Of Computer Science Physics Division Cicese
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Mozerov Mikhail
Laboratory Of Digital Optics Institute For Information Transmission Problems
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Kober Vitaly
Department Of Computer Science Cicese
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