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Fuzzy control for obstacle detection in object tracking

โœ Scribed by Eduardo Parrilla; Jaime Riera; Juan-R. Torregrosa


Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
836 KB
Volume
52
Category
Article
ISSN
0895-7177

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โœฆ Synopsis


In previous works, we have studied a fast and robust object tracking system based on optical flow. To solve the occlusion problem, we have developed a combined tracking system based on optical flow and adaptive filters. The critical point of the system is the coupling between optical flow and predictive algorithms. This coupling is governed by parameters such as tolerance, the absolute value of the difference between the value of velocity calculated by the optical flow and the estimated value. In this paper, we propose the use of a fuzzy control system to solve this coupling problem between the different velocities. This technique will provide great robustness to the tracking algorithm.


๐Ÿ“œ SIMILAR VOLUMES


Fuzzy robust tracking control for uncert
โœ Shaocheng Tong; Tao Wang; Han-Xiong Li ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 187 KB

A robust output tracking control technique for nonlinear systems is developed. First, the Takagi and Sugeno (T-S) Fuzzy model with parametric uncertainties is employed to represent a nonlinear system. Based on (T-S) fuzzy model, fuzzy robust state feedback output tracking controller and fuzzy robust