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Segmentation and tracking of objects on a complex background

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Abstract

This paper discusses methods of discriminating the shape of an object from a fragment of an actual image and of detecting a target in each image of a video sequence. A set of attributes of the object and a special rule for rewriting the reference – a dynamic measure of closeness – is used to achieve stable tracking.

© 2011 OSA

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