Abstract:Occlusions and cluttered environments represent real challenges for visual tracking methods. In order to increase robustness in such situations this article presents a method for visual tracking using a Particle Filter with Hybrid Resampling. Our approach consists of using a particle filter to estimate the state of the tracked object, and both particles' inertia and update information are used in the resampling stage. The proposed method is tested using a public benchmark and the results are compared with othe… Show more
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