13-1 MULTIPLE OBJECTS SEGMENTATION USING HIERARCHICAL STOCHASTIC DIFFUSION

抄録

The stochastic diffusion is an optimization method to minimize the potential function in the MAP-based motion estimations. This paper applies the stochastic diffusion to the MAP-based simultaneous motion estimation and object segmentation in the hierarchical structure. According to the experiments, the proposed method can extract multiple objects with decreasing memory and computational burden which is the main problems in the stochastic diffusion.