Particle filters have been widely used in nonlinear/nonGaussian Bayesian state estimation problems.However,efficient distribution of the limited number of parti
This paper proposes a hybrid approach for recognizing human activities from trajectories.First,an improved hidden Markov model(HMM) parameter learning algorithm,HMM-PSO,is proposed,which achieves a be