In this paper we present a robust real-time method for tracking and recognizing multiple people with multiple cameras. Our method uses both static and Pan-Tilt-Zoom (PTZ) cameras to provide visual attention. The PTZ camera system uses face recognition to register people in the scene and “lock-on” to those individuals. The static camera system provides a global view of the environment and is use...

We gave 32 people with cerebral palsy the opportunity to use a motion tracking system to convert their movements into musical sounds. Due to their physical limitations, people with Cerebral Palsy have traditionally had fewer opportunities to make music or dance. Motion tracking can palliate this inequality, since it permits any movement to be mapped to music and sound. We used two sensor system...

In this paper we present a system for detecting unusual events in smart home environments. A primary application of this is to prolong independent living for elderly people at their homes. We show how to effectively combine information from multiple heterogeneous sensors which are typically present in a smart home scenario. Data fusion is done in a 3D voxel occupancy grid. Graph Cuts are used t...

In this work, we demonstrate the practicality of people tracking by means of physical-layer fingerprints of RFID tags that they carry. We build a portable low-cost USRP-based RFID fingerprinter and we show, over a set of 210 EPC C1G2 tags, that this fingerprinter enables reliable identification of individual tags from varying distances and across different tag placements (wallet, shopping bag, ...

It is now nearly three years since our last newsletter. During that time we have continued to collect more samples from volunteers and enlarged our collection of photos for the face genetics project to nearly 2000. Most importantly, a subset of 2039 of our samples has been extensively analysed, and, after several revisions and adjustments, the results have appeared on 19 March as a major paper ...