Improved ant colony algorithm based data association method for multi-target tracking

For the application of multi-sensor multi-target tracking, a method of data association based on improved ant colony algorithm is proposed in this study, in order to improve the ant colony algorithm in which the application effect of global optimization problems, the initial solution is built and optimized by use of the characters of positive feedback and parallel search of ant colony algorithm, introducing an adaptive Chaos mechanism, globally pheromone update and chaotic disturbance. Experimental results show that the presented algorithm is effective.