Fuzzy control for obstacle detection in object tracking
โ 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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โฆ 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.
๐ SIMILAR VOLUMES
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