A comparison on textured motion classification

2006-01-01
Oztekin, Kaan
Akar, Gözde
Textured motion - generally known as dynamic or temporal texture analysis, classification, synthesis, segmentation and recognition is popular research areas in several fields such as computer vision, robotics, animation, multimedia databases etc. In the literature, several algorithms are proposed to characterize these textured motions such as stochastic and deterministic algorithms. However, there is no study which compares the performances of these algorithms. In this paper, we carry out a complete comparison study. Also, improvements to deterministic methods are given.
MULTIMEDIA CONTENT REPRESENTATION, CLASSIFICATION AND SECURITY

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Citation Formats
K. Oztekin and G. Akar, “A comparison on textured motion classification,” MULTIMEDIA CONTENT REPRESENTATION, CLASSIFICATION AND SECURITY, pp. 722–729, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54428.