Control of A Camera for Active Vision: Foveated Vision, Smoothtracking And Saccade
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Control of a camera for active vision: foveated vision, smoothtracking and saccade.
In IEEE International Conference on Control Applications, 691--696, 1996
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Abstract
In an active vision system, the information available for feedback has to be computed from images acquired on real-time. This image processing task can be seen as a degree of freedom that the designer has at hand to maximize the tracking performance, for instance one can define a region of the image where heavy processing is performed - the fovea. Based on control considerations, this paper shows how to compute the optimal size of this fovea, and presents a two-tracking mechanism which is necessary if foveated vision is to be implemented on a real environment
Co-authors
Bibtex Entry
@inproceedings{RotsteinR96i-c,
title = {Control of a camera for active vision: foveated vision, smoothtracking and saccade},
author = {Hector Rotstein and Ehud Rivlin},
year = {1996},
booktitle = {IEEE International Conference on Control Applications},
pages = {691--696},
abstract = {In an active vision system, the information available for feedback has to be computed from images acquired on real-time. This image processing task can be seen as a degree of freedom that the designer has at hand to maximize the tracking performance, for instance one can define a region of the image where heavy processing is performed - the fovea. Based on control considerations, this paper shows how to compute the optimal size of this fovea, and presents a two-tracking mechanism which is necessary if foveated vision is to be implemented on a real environment}
}