Abstract
A new robust matching algorithm for motion detection and computation of precise estimates of motion vectors of moving objects in a sequence of images is presented. Common matching algorithms of dynamic image analysis usually utilize local smoothness constraints. The proposed method exploits global motion smoothness. The suggested matching algorithm is robust to motion discontinuity as well as to noise degradation of a signal. Computer simulation and experimental results demonstrate an excellent performance of the method in terms of dynamic motion analysis. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Mozerov, M., & Kober, V. (2005). A robust matching algorithm based on global motion smoothness criterion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3773 LNCS, pp. 295–301). https://doi.org/10.1007/11578079_31
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