This paper introduces a novel algorithm for multi–extended object tracking, which is based on probabilistic–statistical modelling, machine learning, and optimization theory. The proposed approach encompasses methods modelling the state of extended objects, data association, predicting updating objects at each time step. performance was assessed compared with other existing algorithms using simu...