Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...
When more than a single classifier has been trained for the same recognition problem the question arises how this set of classifiers may be combined into a final decision rule. Se...
We present an approach for recognizing human walking movements using low-level motion regularities and constraints. Biomechanical features for classification are automatically ext...
We address the problem of detecting human violence in video, such as fist fighting, kicking, hitting with objects, etc. To detect violence we rely on motion trajectory information...
The Cameron project has developed a language and compiler for mapping image-based applications to field programmable gate arrays (FPGAs). This paper tests this technology on sever...
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
A large number of methods for circle detection has been studied in the last years for numerous image processing applications. The application domain considered in this paper is th...
We study the combination of face verification algorithms in order to improve the verification performance. Although the different face experts that we consider provide their outpu...
In this paper we define a Topological Tree (TT) as a knowledge representation method that aims to describe important visual and spatial features of image regions, namely the color...
Rita Cucchiara, Costantino Grana, Andrea Prati, St...