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An audio–visual particle filter for speaker tracking on ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.5204#:~:text=Abstract.%20We%20present%20an%20approach%20for%20tracking%20a,them%20using%20features%20from%20both%20audio%20and%20video.
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.
(PDF) A joint particle filter for audio-visual speaker ...
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 …
Speaker Tracking Using an Audio-visual Particle Filter
https://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.3953
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract. We present an 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 …
(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 ...
An Audio-Visual Particle Filter for Speaker Tracking on ...
https://link.springer.com/chapter/10.1007%2F978-3-540-69568-4_4
We present an 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.
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.
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