PHD Multi-Target Tracking Simulation
An executable multi-target tracking simulation implemented using the Probability Hypothesis Density (PHD) algorithm. The PHD filter represents multi-target states and observations as random sets, which are then incorporated into Bayesian filtering iterations, eliminating the need for explicit data association and revolutionizing multi-target tracking technology.