J. Gao (USA)
Optical field, motion estimation, motion segmentation, parameter estimation
We describe a parametric multiple-motion estimation ap proach for motion segmentation. Towards such a goal, a reliable optical flow estimation method is introduced which deals with the sparse optical field problem from the view of missing data reconstruction. Multiple-motion parameter estimation is carried out on the basis of constancy of mo tion field for each motion model. Also to achieve a smooth motion boundary, spatial segmentation information is uti lized. Experimented results are presented on a cluttered video sequence with fast moving object motion.
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