Fuzzy control for obstacle detection in object tracking

Authors:
Eduardo Parrilla;Jaime Riera;Juan-R. Torregrosa
Affiliations:
Instituto de Matemática Multidisciplinar, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain;Instituto de Matemática Multidisciplinar, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain;Instituto de Matemática Multidisciplinar, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2010

Citing 4
Cited 1

System identification: theory for the user

System identification: theory for the user
Discrete-time control systems

Discrete-time control systems
Handling occlusion in optical flow algorithms for object tracking

Computers & Mathematics with Applications
Handling occlusion in object tracking in stereoscopic video sequences

Mathematical and Computer Modelling: An International Journal

Fuzzy control for obstacle detection in stereo video sequences

Mathematical and Computer Modelling: An International Journal

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Abstract

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.