Tracking People in Meetings with Particles
| Type of publication: | Idiap-RR |
| Citation: | gatica05b |
| Number: | Idiap-RR-71-2004 |
| Year: | 2004 |
| Institution: | IDIAP |
| Address: | Martigny, Switzerland |
| Note: | in Proc. Int. Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS,',','), invited paper, Montreux, Apr. 2005. |
| Abstract: | Automatic meeting analysis is an emerging research field. In this paper, we present stochastic algorithms for tracking people in multi-sensor meeting rooms, for a number of relevant tasks, including tracking multiple people, tracking head pose towards analysis of visual focus-of-attention, and tracking speaker activity using audio-visual information. A Bayesian framework based on Sequential Monte Carlo methods is used in all cases. We discuss the advantages and limitations of our approach, illustrate it with results, and highlight a number of open issues. |
| Userfields: | ipdmembership={speech, vision}, language={English}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Crossref by |
gatica05b-conf |
| Added by: | [UNK] |
| Total mark: | 0 |
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