Data association for multiple target tracking : an optimization approach

Abstract

In multiple target tracking the data association, observation to track fusion, is crucial and plays an important role for success of any tracking algorithm. The observation may be due to true target or may be clutter. In this paper, data association problem is viewed as an optimization problem and two methods, (i) using neural network and (ii) using the evolutionary algorithm, have been proposed and compared.