Estimation of True Motion Based on Particle Filtering

A particle filtering based block-wise estimation of true motion in a video sequence is proposed. Parameters of motion of a block in a sequence are defined as a state, and evolution of the state with respect to the block index is tracked with particle filtering. The state is assumed to be dependent on the states of neighboring blocks. Estimated motion fields are consistent and suitable for applications that require true motion such as intermediate frame generation. With the particle filtering, motion can be searched only where they are probable. Hence, the proposed method can estimate motion with a fraction of search points necessary for conventional estimation methods.