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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 ...

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.

(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 …

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