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Momental directional patterns for dynamic texture recognition
2019
Computer Vision and Image Understanding
Understanding the chaotic motions of dynamic textures (DTs) is a challenging problem of video representation for different tasks in computer vision. This paper presents a new approach for an efficient DT representation by addressing the following novel concepts. First, a model of moment volumes is introduced as an effective pre-processing technique for enriching the robust and discriminative information of dynamic voxels with low computational cost. Second, two important extensions of Local
doi:10.1016/j.cviu.2019.102882
fatcat:y57ug4ctlfh7hgq7ammy77yx6a