Adaptive sequential Monte Carlo implementation of the PHD filter for multi-target tracking

Abstract

In recent years, the sequential Monte Carlo (SMC) implementation of the probability hypothesis density (PHD) filter has been applied with great success in multi-target tracking problem. The standard SMC implementation is equivalent to the particle filter, which involves a mass of particles. Generally, there is a positive correlation between the number of… (More)

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