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 Baby Bottle Nipples algorithm designed difference pheromone for 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 Dresser w/ Fireplace 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.