Video telephony could be considerably enhanced by provision of a tracking system that allows freedom of movement to the speaker while maintaining a well-framed image, for transmission over limited bandwidth. Already commercial multi-microphone systems exist which track speaker direction in order to reject background noise. Stereo sound and vision are complementary modalities in that sound is good for initialisation (where vision is expensive) whereas vision is good for localisation (where sound is less precise). Using generative probabilistic models and particle filtering, we show that stereo sound and vision can indeed be fused effectively, to make a system more capable than with either modality on its own.
Sequential Monte Carlo fusion of sound and vision for speaker tracking
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 ; 1 ; 741-746 vol.1
2001-01-01
850326 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Sequential Monte Carlo Fusion of Sound and Vision for Speaker Tracking
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