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[matlab] A-Ball-Tracking-Application DL : 0: 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 -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
Date : 2025-12-26 Size : 1.19mb User : amir2