Mohamed Sadek Kemouche

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In this paper, we propose a Gaussian Mixture (GM)-Probability Hypothesis Density (PHD) filter based algorithm for multiple objects tracking. To reduce the number of used Gaussians, we introduced a clustering procedure and observation Gaussians estimation, to avoid the exponential growth of mixture components when the number of measurement highly increases.(More)
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