Advanced driver assistance systems have strong restrictions for real-time performance. Vision algorithms embedded in these systems need to balance accuracy and computational simplicity and there exists a continuous challenge to increase both goals. In this paper we define a new operator coined as Local Contour Patterns and use it in fast Hough-Transform-based approaches for circle and line detectors. We show an efficient implementation for traffic sign detection, relying only on shape information, that analyzes a 752 × 480 grayscale image in 40 ms in a Intel 8400 CPU, with a very good performance in real driving conditions.
Local Contour Patterns for fast traffic sign detection
01.06.2010
1062488 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Local Contour Patterns for Fast Traffic Sign Detection, pp. 1-6
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