Using colour features to classify objects and people in a video surveillance network
Master Thesis
2004
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University of Cape Town
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Abstract
Visual tracking of humans has proved to be an extremely challenging task for computer vision systems. One idea towards a development of these systems is the incorporation of colour. Often colour appearance of a person can provide enough information to identify an object or person in the short-term. However, the imprecise nature of colour measurements typically encountered in image processing has limited their use. This thesis presents a system which uses colour appearances of objects and people for tracking across multiple camera views in a digital video surveillance network.
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Includes bibliographical references (leaves 133-138).
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Price, M. 2004. Using colour features to classify objects and people in a video surveillance network. University of Cape Town.