Improved AC-GA based data association method for multi-target tracking

An AC-GADA（ant colony-genetic algorithm data association） algorithm was proposed to deal with the data as-sociation problem for multi-target tracking.This algorithm designed difference pheromone for rosy teacup dogwood each ant and improved global pheromone increment model,and combined crossover and mutation strategy with fitness of population model in or-der to improve rate of convergence and avoid the appearance of local extremum.The footjoy weste herren comparison with ACDA（ant colony data association） and JPAD（joint pobabilistic data association） proved its efficiency and superiority.