The Analysis of Target Trajectory Based on Genetic Evolutionary and Particle Filter
Abstract: Aiming at the
problem of trajectory recognition of moving objects in video surveillance, an analysis
algorithm of the target trajectory based on genetic evolutionary and particle
filter is presented,which is combined with genetic algorithm. Firstly generate
initial parent particle population in the reference frame, use preferred
evolution strategies of genetic algorithm, and select excellent particles of
offspring. Then do not the corresponding calculations on the basis of crossover
and mutation rules for the unselected particles until reach the number of
iterations. At last, calculate object states by the weights of each particle and
obtain the target trajectory. The new algorithm is not affected by the
background changes. Compare with the existing algorithms, the simulation
results show that it easy to realize and has more stable trackingeffect.
Author: Yanni Wang, Junni Zhou
Journal Code: jptkomputergg160046
