Combined dynamic tracking and recognition of curves with application to road detection

TAREL ; GUICHARD

Type de document
COMMUNICATION AVEC ACTES INTERNATIONAL (ACTI)
Langue
anglais
Auteur
TAREL ; GUICHARD
Résumé / Abstract
We present an algorithm that extracts the largest shape within a specific class, starting from a set of image edgels. The algorithm inherits the best-frist segmentation approach. However, instead of being applicable only to shapes defined within a given class of curves, we have extended our approach to tackle more general - and complex - shapes. For example we can now process shapes obtained from sets defined over different kinds of curves and related to one another by estimated parameters. Therefore, we go from a segmentation problem to a recognition problem. This leads us to propose a unified approach where recognition and tracking are combined. Experiments on recognizing and tracking both left and right road boundaries demonstrate that real-time processing is achievable.

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