Detection of strong shadows in monochromatic video streams

Authors:
Christian Bräuer-Burchardt
Affiliations:
Friedrich Schiller University Jena, Dept. of Computer Science, Jena, Germany
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

Citing 3
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Abstract

A new robust method to shadow detection applicable to moving object tracking tasks is presented. The information about existence and kind of shadows from the preceding images of the sequence is used to predict the properties of the shadows in the current image. Shadow points are identified by comparison to the expected shaded grey value using the shading function. The technique allows mainly the detection of strong shadows from direct sunlight.