In this document we present an agent for people detection and tracking through stereo vision. The agent makes use of the active vision to perform the people tracking with a robotic head on which the vision system is installed. Initially, a map of the surrounding environment is created including its motionless characteristics. This map will be later on used to detect objects in motion and to sea...

UNLABELLED Numerous authors report that people with aphasia have greater difficulty allocating attention than people without neurological disorders. Studying how attention deficits contribute to language deficits is important. However, existing methods for indexing attention allocation in people with aphasia pose serious methodological challenges. Eye-tracking methods have great potential to ad...

Abstract Online tracking is complex and users find it challenging to protect themselves from it. While the academic community has extensively studied systems for practices, link between data protection regulations, websites’ practices of presenting privacy-enhancing technologies (PETs), how learn about PETs practice them not clear. This paper takes a multidimensional approach such link. We cond...

Robust real-time face tracking is a challenging task. This paper presents an algorithm for tracking faces of multiple people even in case of total occlusion. The method uses the color distribution of each face with the mean shift tracking method. Mean shift tracking is fast and robust to partial occlusion, and it is rotation invariant and computationally efficient. Since the mean shift algorith...