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Audio‐Visual Speaker Tracking | IntechOpen
https://www.intechopen.com/chapters/54897#:~:text=%20Audio%E2%80%90Visual%20Speaker%20Tracking%20%201%20Introduction.%20Speaker,a%20fundamental%20part%20of%20multimedia%20applications...%20More%20
AVOT: Audio-Visual Object Tracking of Multiple Objects for ...
http://gamma.cs.unc.edu/AVOT/ICRA_2020_AVOT.pdf
from object collisions, rolling, etc., our audio-visual object tracking (AVOT) neural network can reduce tracking error and drift. We train AVOT end to end and use audio-visual inputs over all frames. Our audio-based technique may be used in conjunction with other neural networks to augment visually based object detection and tracking methods.
Audio‐Visual Speaker Tracking | IntechOpen
https://www.intechopen.com/chapters/54897
Audio‐Visual Speaker Tracking 1. Introduction. Speaker tracking aims at localizing the moving speakers in a scene by analysing the data sequences... 2. Tracking modalities. Visual tracking is a challenging task in real‐life scenarios, as the performance of a tracker is... 3. Audio‐visual speaker ...
Audio-visual tracking of concurrent speakers | IEEE ...
https://ieeexplore.ieee.org/document/9362311
Audio-Visual Person Tracking | Communications and …
https://www.worldscientific.com/worldscibooks/10.1142/p724
AVOT: Audio-Visual Object Tracking of Multiple Objects for ...
http://gamma.cs.unc.edu/AVOT/
(Left) Audio-Visual Object Tracker (AVOT) neural network architecture. AVOT is a feed-forward convolutional neural network that classifies and scales a fixed number of anchor bounding boxes to track objects in a video. Here, we define an object based on its geometry and material.
Using eye-tracking to study audio-visual perceptual ...
https://pubmed.ncbi.nlm.nih.gov/18196704/
Joint Audio-Visual Tracking using Particle Filters
https://www.umiacs.umd.edu/~dz/pbpslist/eurasip01final.pdf
Special Issue on Joint Audio-Visual Speech Processing Abstract It is often advantageous to track objects in a scene using multimodal information when such information is available. We use audio as a complementary modality to video data, which, in comparison to vision, can provide faster localization over awiderfield of view.
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.
Social Interaction of Humanoid Robot Based on Audio-Visual ...
https://web.cecs.pdx.edu/~mperkows/CLASS_ROBOTICS/FEBR26-2004/Humanoids/audio-visual-tracking-ieaaie-02.pdf
multiple-talker tracking technology by associating auditory and visual streams. The system is implemented on a upper-torso humanoid and the real-time talker tracking with 200 msec of delay is attained by distributed processing on four PCs connected by Gigabit Ethernet. Focus-of-attention is programmable and allows a variety of behaviors.
Kinect in Motion - Audio and Visual Tracking by Example ...
https://www.packtpub.com/product/kinect-in-motion-audio-and-visual-tracking-by-example/9781849697187
Kinect in Motion - Audio and Visual Tracking by Example is a compact reference on how to master color, depth, skeleton, and audio data streams handled by Kinect for Windows.Starting with an introduction to Kinect and its characteristics, you will first be shown how to master the color data stream with no more than one page of lines of code.
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