We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered sce...
In this paper, we address the problem of learning compact, view-independent, realistic 3D models of human actions recorded with multiple cameras, for the purpose of recognizing th...
Background blurring is an effective way to both preserving privacy and keeping communication effective during video conferencing. This paper proposes a light weight real-time algo...
This paper proposes an object-oriented approach for streaming synthetic graphic contents over a packet-erasure channel. Graphic objects such as geometric meshes and texture images...
This paper presents an effective target representation based on multiple colour histograms computed on semi-overlapping image areas. This solution introduces spatial information i...