Sequential Monte Carlo fusion of sound and vision for speaker tracking

Proceedings of the IEEE International Conference on Computer Vision

Volumn 1, Issue , 2001, Pages 741-745

  Vermaak, J ^a   Gangnet, M ^a   Blake, A ^a   Perez P ^a  

^a MICROSOFT RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; MATHEMATICAL MODELS; MICROPHONES; MONTE CARLO METHODS; PROBABILITY; STEREO VISION; STEREOPHONIC RECORDINGS;

GENERATIVE PROBABILISTIC MODELS; MULTIMICROPHONE SYSTEMS; SEQUENTIAL MONTE CARLO FUSION; SPEAKER TRACKING; STEREO SOUND; VIDEO TELEPHONY;

COMPUTER VISION;

EID: 0034844366     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Time-delay estimation of reverberant speech exploiting harmonic structure
2. A practical methodology for speech source localization with microphone arrays
3. A robust method for speech signal time-delay estimation in reverberant rooms
4. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
5. Visual tracking by stochastic propagation of conditional density
6. The generalized correlation method for estimation of time delay
7. Robust model-based motion tracking through the integration of search and estimation
8. A probabilistic exclusion principle for tracking multiple objects
9. A two-stage algorithm for determining talker location from linear microphone array data
10. Nonlinear filtering for speaker tracking in noisy and reverberant environments
11. Voice source localization for automatic camera pointing system in videoconferencing