Approximated densities for block-based motion estimation

摘要

In block-based motion estimation (BME), the most common procedure applied is block-matching. Some applications of Kalman filtering to motion estimation have also been found, but its applicability is rather limited due to discontinuities in the dynamic behaviour. The concept of filtering by approximated densities applied to interframe BME involving exponential distributions is found by the authors to result in superior performance.