A study on the identification and tracking of moving vehicles in the dense environment

Introduces a scheme for finding an optimal association matrix that represents the relationships between the measurements and tracks in multi-target tracking of a radar system. We consider the relationships between targets and measurements as MRF and assume a priori the associations as a Gibbs distribution. Based on these assumptions, it was possible to reduce the MAP estimate of the association matrix to the energy minimization problem. Then, we define an energy function over the measurement space, that may incorporate most of the important natural constraints.