Visual tracking with L1-Grassmann manifold modeling
Dimitris G. Chachlakis, Panos P. Markopoulos, Raj J. Muchhala, Andreas E. Savakis · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
We present a novel method for robust tracking in video frame sequences via L1-Grassmann manifolds. The proposed method represents adaptively the target as a point on the Grassmann manifold, calculated by means of L1-norm Principal-Component Analysis (L1-PCA). For this purpose, an efficient algorithm for adaptive L1-PCA is presented. Our experimental studies illustrate that the presented tracking method, leveraging the outlier resistance of L1-PCA, demonstrates robustness against target occlusions and illumination variations.