Project Title : Implementation of Robust Visual Tracking using l1 minimization

In the paper this tracking algorithm has been compared to following algorithms - a)Mean Shift tracker, b)Covariance tracker and c)Appearance adaptive particle filter tracker. It performs better than these three state of the art algorithms. In the proposed algorithm tracking has been modeled as a sparse approximation problem. And the problem has been solved using a l1 regularized least squares approach.