We present an organic computing approach for very fast image processing, which we call Marching Pixels (MPs). Using an embedded massively-parallel array of processor elements (PEs...
We present a parametric method to automatically identify people in monocular low-resolution video by estimating the height and stride parameters of their gait. Stride parameters (...
Abstract We propose a robust methodology for 3D modelbased markerless tracking of textured objects in monocular image sequences. The technique is based on mutual information maximi...
In this paper, we present an appearance-based method for person re-identification. It consists in the extraction of features that model three complementary aspects of the human ap...
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...