Dynamic texture segmentation based on deterministic partially self-avoiding walks ?
A video segmentation based on dynamic texture is proposed. The method uses deterministic partially self-avoiding walks and a k-means. The sequence of images is considered as a 3D matrix, which is split into blocks. A feature vector for each block is obtained using the deterministic walks algorithm. k-Means algorithm clusters is used to obtain the video segmentation.
dynamic texture segmentation deterministic partially self-avoiding walks k-means algorithm