Rastreamento visual de objetos utilizando otimização por enxame de partículas

Flávio de Barros Vidal

This paper proposes an algorithm for object visual tracking using Particle Swarm Optimization(PSO) methods. The main objective is to develop a framework for image tracking algorithms, which the natural consequence, and necessary improvements were not only in strength, but also in the results of the trajectories of objects of interest in tracking. In order to improve the tracking techniques already developed, and even use resources from increases in computer processing capacity, we chose the coupling of the algorithm with the stochastic filtering techniques and PSO. These have made the proposed algorithm more robust and also improve the description of target trajectories to be tracked.

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