Motion vector correction based on the pattern-like image analysis
IEEE Transactions on Consumer Electronics
Highly efficient predictive zonal algorithms for fast block-matching motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Motion estimation of deformable objects with motion inertia information
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
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When finding true motion vectors in video sequences, multiple local minima areas such as periodic pattern cause severe motion errors. There have been efforts to reduce motion errors in the region, where they use exhaustive full-search motion estimation scheme to analyze or find a solution for the region. To find robust motion vectors in the periodic pattern region using non-exhaustive motion estimator, we propose a recursive motion vector smoothing method. Recursively averaged vectors are used for periodic pattern region and the input vectors from a conventional search method are used for other regions, controlled by a weighting parameter. Properties of periodic pattern is considered in calculating the parameter to adaptively weight on the input or the mean vectors. Experimental results show motion vector improvements in the periodic pattern region with the input vectors from nonexhaustive search method.