Multiple person and speaker activity tracking with a particle filter

Abstract

In this paper, we present a system that combines sound and vision to track multiple people. In a cluttered or noisy scene, multi-person tracking estimates have a distinctly non-Gaussian distribution. We apply a particle filter with audio and video state components, and derive observation likelihood methods based on both audio and video measurements. Our… (More)
DOI: 10.1109/ICASSP.2004.1327252

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@article{Checka2004MultiplePA, title={Multiple person and speaker activity tracking with a particle filter}, author={Neal Checka and Kevin W. Wilson and Michael Siracusa and Trevor Darrell}, journal={2004 IEEE International Conference on Acoustics, Speech, and Signal Processing}, year={2004}, volume={5}, pages={V-881} }