Continuous Energy Minimization Based Multi-target Tracking

This paper proposes a novel method to deal with the issue of multi-target tracking by taking into account the information of continuous energy minimization and discriminative appearance models simultaneously. Specifically, the information of observation model, appearance model, exclusion model, dynamic model, trajectory persistence model and trajectory regulation model are first adopted to construct an objective function of each tracking trajectory; then, the gradient descent method is here adopted to obtain an approximate minimum of the constructed objective function at every moment, and to obtain the number of and the status of tracking targets; finally, continuous energy minimization based intelligent extrapolation method is here utilized to achieve the final continuous and smooth tracking trajectories. Experimental results on PETS 2009/2010 benchmark and TUD-Stadtmitte video database demonstrate the effectiveness and efficiency of the proposed scheme.