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A joint particle filter for audio-visual speaker tracking
https://www.researchgate.net/publication/221052393_A_joint_particle_filter_for_audio-visual_speaker_tracking#:~:text=We%20use%20features%20from%20multiple%20cameras%20and%20microphones%2C,them%20using%20features%20from%20both%20audio%20and%20video.
Joint Audio-Visual Tracking Using Particle Filters ...
https://asp-eurasipjournals.springeropen.com/articles/10.1155/S1110865702206058
We use audio as a complementary modality to video data, which, in comparison to vision, can provide faster localization over a wider field of view. We present a particle-filter based tracking framework for performing multimodal sensor fusion for tracking people in a videoconferencing environment using multiple cameras and multiple microphone arrays.
Joint Audio-Visual Tracking using Particle Filters
https://www.umiacs.umd.edu/~dz/pbpslist/eurasip01final.pdf
Joint Audio-Visual Tracking using Particle Filters Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davis Perceptual Interfaces and Reality Laboratory UMIACS, Department of Computer Science University of Maryland at College Park College Park, MD 20742 USA EURASIP Journal on Applied Signal Processing Special Issue on Joint Audio-Visual Speech ...
(PDF) Joint Audio-Visual Tracking Using Particle Filters
https://www.researchgate.net/publication/26532583_Joint_Audio-Visual_Tracking_Using_Particle_Filters
Joint Audio-Visual Tracking Using Particle Filters. ... We present a particle-filter based tracking framework for performing multimodal sensor fusion for tracking people in a videoconferencing ...
Joint Audio-Visual Tracking Using Particle Filters - NASA/ADS
https://ui.adsabs.harvard.edu/abs/2002EJASP2002...28Z/abstract
We use audio as a complementary modality to video data, which, in comparison to vision, can provide faster localization over a wider field of view. We present a particle-filter based tracking framework for performing multimodal sensor fusion for tracking people in a videoconferencing environment using multiple cameras and multiple microphone arrays.
JointAudio-VisualTrackingUsingParticleFilters
https://asp-eurasipjournals.springeropen.com/track/pdf/10.1155/S1110865702206058.pdf
Joint Audio-Visual Tracking Using Particle Filters 1155 improvement (simple beamforming-based speech signal en-hancement for the speech recognition engine). We present a probabilistic framework for combining results from the two modes and develop a particle filter based joint audio-video tracking algorithm. The availability of independent modali-
A joint particle filter for audio-visual speaker tracking
https://www.researchgate.net/publication/221052393_A_joint_particle_filter_for_audio-visual_speaker_tracking
joint particle filter framework. The filter p erforms sampled projections of 3D lo cation hypotheses and scores them us- ing features from both …
A joint particle filter for audio-visual speaker tracking ...
https://dl.acm.org/doi/abs/10.1145/1088463.1088477
In this paper, we present a novel approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a joint particle filter framework. The filter performs sampled projections of 3D location hypotheses and scores them using features from both audio and video.
An Audio-Visual Particle Filter for Speaker Tracking on ...
https://link.springer.com/chapter/10.1007%2F978-3-540-69568-4_4
We use features from multiple cameras and microphones, and process them in a joint particle filter framework. The filter performs sampled projections of 3D location hypotheses and scores them using features from both audio and video.
3D AUDIO-VISUAL SPEAKER TRACKING WITH AN ADAPTIVE …
https://www.eecs.qmul.ac.uk/~andrea/papers/2017_ICASSP_3DAVTrackingAdaptiveParticleFilter_Qian_Brutti_Omologo_Cavallaro.pdf
the estimates of the target 3D location [10]. Particle Filters (PF) [11] are applicable for non-linear models to fuse multi-sensor data for tracking. DoA information from audio processing can assist video for joint speaker diarisation and tracking on the image plane [12]. Similarly, the DoA estimations can be mapped to the image plane to
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