Tuzel, Oncel; Porikli, Fatih; Meer, Peter
We present a new algorithm to detect pedestrian in still images utilizing covariance matrices as object descriptors. Since the descriptors do not form a vector space, well known machine learning techniques are not well suited to learn the classifiers. The space of d-dimensional nonsingular covariance matrices can be represented as a connected Riemannian manifold. The main contribution of the paper is a novel approach for classifying points lying on a connected Riemannian manifold using the...[Show more]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.