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3D AUDIO-VISUAL SPEAKER TRACKING WITH AN ADAPTIVE PARTICLE ...

    https://www.eecs.qmul.ac.uk/~andrea/papers/2017_ICASSP_3DAVTrackingAdaptiveParticleFilter_Qian_Brutti_Omologo_Cavallaro.pdf#:~:text=Kalman%20Filter%20%28KF%29%20can%20be%20used%20for%20late,for%20audio-visual%20speaker%20tracking%20is%20shownin%20Table%201.
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Audio-Visual Speaker Tracking with Importance …

    https://www.idiap.ch/~gatica/publications/GaticaLathoudMcCowanOdobezMoore-icip03.pdf
    We present a probabilistic method for audio-visual(AV) speaker tracking, using an uncalibrated wide-anglecamera and a micro-phone array. The algorithm fuses 2-D object shape and audio information via importance particle filters (I-PFs), allowing for the asymmetrical integration of AV information in a way that ef-

Audio-visual speaker tracking with importance particle ...

    https://ieeexplore.ieee.org/abstract/document/1247172/
    Audio-visual speaker tracking with importance particle filters. Abstract:We present a probabilistic method for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a micro- phone array. The algorithm fuses 2-D object shape and audio information via importance particle filters (I-PFs), allowing for the asymmetrical integration of AV information …

Audio-visual speaker tracking with importance particle ...

    https://ieeexplore.ieee.org/document/1247172/
    Abstract: We present a probabilistic method for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a micro- phone array. The algorithm fuses 2-D object shape and audio information via importance particle filters (I-PFs), allowing for the asymmetrical integration of AV information in a way that efficiently exploits the complementary features of …

Audio-visual speaker tracking with importance particle …

    https://www.academia.edu/8115453/Audio_visual_speaker_tracking_with_importance_particle_filters
    AUDIO-VISUAL SPEAKER TRACKING WITH IMPORTANCE PARTICLE FILTERS Daniel Gatica-Perez, Guillaume Lathoud, Iain McCowan, Jean-Marc Odobez, and Darren Moore Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP) Rue du Simplon 4, Martigny, Switzerland {gatica,lathoud,mccowan,odobez,moore}@idiap.ch ABSTRACT Sampling from dynamics …

Audio-Visual Speaker Tracking With Importance Particle …

    https://www.researchgate.net/publication/2953221_Audio-Visual_Speaker_Tracking_With_Importance_Particle_Filters
    We propose a multi-modal object tracking algorithm that combines appearance, motion and audio information in a particle filter. The proposed tracker fuses at the likelihood level the audio-visual ...

Audio-Visual Speaker Tracking With Importance Particle ...

    https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.7637
    We present a probabilistic method for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a microphone array. The algorithm fuses 2-D object shape and audio information via importance particle filters (I-PFs), allowing for the asymmetrical integration of AV information in a way that efficiently exploits the complementary features of each modality.

Speaker Tracking Using an Audio-visual Particle Filter

    https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.117.3953&rep=rep1&type=pdf
    Speaker Tracking Using an Audio-visual Particle Filter Kai Nickel, Tobias Gehrig, Hazim K. Ekenel, Rainer Stiefelhagen, and John McDonough Interactive Systems Labs - University of Karlsruhe Am Fasanengarten 5, 76131 Karlsruhe, Germany [email protected] Abstract. We present an approach for tracking a lecturer during the course of his speech.

3D AUDIO-VISUAL SPEAKER TRACKING WITH AN ADAPTIVE …

    https://www.eecs.qmul.ac.uk/~andrea/papers/2017_ICASSP_3DAVTrackingAdaptiveParticleFilter_Qian_Brutti_Omologo_Cavallaro.pdf
    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 constrain and update the speaker track from video [13].

An Audio-visual Particle Filter for Speaker Tracking on ...

    https://isl.anthropomatik.kit.edu/pdf/Nickel2006.pdf
    speaker tracking. This approach was extended in [9] to add video features. Particle filters [8] have previously been used for audio-visual tracking for example by [15] for a video telephony application, by [4] for multi-person tracking or by [6] for multi-party conversation in a meeting situation. The particle filter’s

An Audio-Visual Particle Filter for Speaker Tracking on ...

    https://link.springer.com/chapter/10.1007%2F978-3-540-69568-4_4
    Nickel K., Gehrig T., Ekenel H.K., McDonough J., Stiefelhagen R. (2007) An Audio-Visual Particle Filter for Speaker Tracking on the CLEAR’06 Evaluation Dataset. In: Stiefelhagen R., Garofolo J. (eds) Multimodal Technologies for Perception of Humans. CLEAR 2006. Lecture Notes in Computer Science, vol 4122.

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