Abstract:Abstract-Particle Filters are a traditional optimization tool for nonlinear, non-Gaussian dynamic-state estimation such as visual tracking. The particle filters, however, suffer from particle degeneracy problem which is caused by the mismatch between the proposal distribution and the target distribution. In this paper, we propose a method for improving the performance of the particle filter via multiswarm-based Particle Swarm Optimization (PSO).We utilize PSO to obtain samples that are well matched with the li… Show more
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