Towards the Estimation of Conspicuity with Visual Priors
Abstract
Traffic signs are designed to be clearly seen by
drivers. However a little is known about the visual influence of the traffic
sign environment on how it will be perceived. Computer estimation of the
conspicuity from images using a camera mounted on a vehicle is thus
of importance in order to be able to quickly make a diagnosis regarding
conspicuity of traffic signs. Unfortunately, our knowledge about the human
visual processing system is rather incomplete and thus conspicuity visual
mechanisms remain poorly understood. A complete model for conspicuity is not known,
only specific features are known to be of importance. It makes sense to assume that
an important task for drivers is to search for traffic signs. We therefore propose
a new paradigm for conspicuity estimation in search tasks based on statistical
learning of the visual features of the object of interest.
Reference
@inproceedings{jpt-visapp08,
author = {Simon, L. and Tarel, J.-P. and Br\'emond, R.},
title = {Towards the Estimation of Conspicuity with Visual Priors},
booktitle = {Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP'08)},
date = {January 22-25},
address = {Funchal, Portugal},
pages = {323-328},
year = {2008},
note = {http://perso.lcpc.fr/tarel.jean-philippe/publis/visapp08.html}
}
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