We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Building on earlier attempts to characterise robot perception as a form of abduction, this paper presents a logical account of active visual perception in the context of an upper-...
This paper presents a tool for the visual analysis of fitness performance data, such as running speed and heart rate. The tool, called MOPET Analyzer, provides a set of interacti...
Abstract. This paper proposes a neuronal-based solution to active visual search, that is, visual search for a given target in displays that are too large in spatial extent to be in...
Andrei Zaharescu, Albert L. Rothenstein, John K. T...
This paper is centered around landmark detection, tracking and matching for visual SLAM (Simultaneous Localization And Mapping) using a monocular vision system with active gaze con...