A comparison on textured motion classification

Date

2006-01-01

Author

Oztekin, Kaan
Akar, Gözde

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Recognition

URI

https://hdl.handle.net/11511/54428

Journal

MULTIMEDIA CONTENT REPRESENTATION, CLASSIFICATION AND SECURITY

Collections

Department of Electrical and Electronics Engineering, Article

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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.