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

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

Blog Article

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 each ant and improved global pheromone increment model,and Custom Tote Bag combined crossover and mutation strategy sensory play with fitness of population model in or-der to improve rate of convergence and avoid the appearance of local extremum.The comparison with ACDA（ant colony data association） and JPAD（joint pobabilistic data association） proved its efficiency and superiority.