Evidential data association in multi-target tracking

In this paper we present a general algorithm for data association in multi-target tracking in the framework of Dempster-Shafer theory. The solution adopted for the representation of the information in our method is strongly influenced by the algorithm developed by Rombault and Gruyer. Furthermore we derive our mathematical formulation of the problem, give a new approach for mass function generation and provide a new way for decision making.