A hybrid algorithm based on particle filter and genetic algorithm for target tracking

The particle filter (PF) is an influential instrument for visual tracking; it relies on the Monte Carlo Chain Framework and Bayesian probability that is of tremendous importance for smart monitoring systems. The current study introduces a particle filter based upon genetic resampling. In the suggested method called Reduced Particle Filter based upon Genetic Algorithm (RPFGA), particles with the highest weights are chosen and go through evolution...