A Generative Approach to Audio-Visual Person Tracking

This paper focuses on the integration of acoustic and visual information for people tracking. The system presented relies on a probabilistic framework within which information from multiple sources is integrated at an intermediate stage. An advantage of the method proposed is that of using a generative approach which supports easy and robust integration of multi source information by means of sampled projection instead of triangulation. The system described has been developed in the EU funded CHIL Project research activities. Experimental results from the CLEAR evaluation workshop are reported.

• Type: Conference
• Year: 2006
• Where: CLEAR
• Authors: Roberto Brunelli, Alessio Brutti, Paul Chippendale, Oswald Lanz, Maurizio Omologo, Piergiorgio Svaizer, Francesco Tobia
• Keywords: Biometrics, CLEAR 2006, Eu Funded Chil, Multi Source Information, Probabilistic Framework