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IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
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ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Traffic monitoring and accident detection at intersections
IEEE Transactions on Intelligent Transportation Systems
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IEEE Transactions on Intelligent Transportation Systems
Automatic change detection of driving environments in a vision-based driver assistance system
IEEE Transactions on Neural Networks
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An approach to analyzing the degrees of invariance of chromatic characteristics is proposed in this paper. In many vision applications, it is desirable that the chromatic characteristics of objects in images taken under different lighting conditions could remain constant. However, the invariance properties of chromatic characteristics are subject to the lighting conditions. In order to be able to apply to dynamic scenes, we consider three fundamental lighting sources: diffuse, ambient, and directed lightings. Any illumination condition can be approximated as a combination of the three lighting sources. The proposed degree of chromatic invariance is defined based on the chromatic characteristic behaviors under different illumination conditions. A lot of image samples under different illumination conditions are utilized, and from experimental results, we conclude that chromatic characteristics {H, C, Cλ} are most stable and suitable for the vision applications.