说明：  The application uses the approach introduced in paper Covariance Tracking using Model Update Based on Means on Riemannian Manifolds , F.Porikli, O.Tuzel, P.Meer. The tracking is based on: 1) initializing the target region 2) constructing the Feature Vectors for each pixel in the target region (first frame) 3) forming the Covariance Matrix using feature vectors generated in step 1 4) determining the candidate regions for the following frames and constructing the covariance matrices of these regions 5) finding the minimum covariance-distanced region from these candidate region 6) assign this region as the estimated region