A Closed Form Solution to Natural Image Matting
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Traffic Sign Detection and Pattern Recognition Using Support Vector Machine
ICAPR '09 Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition
A Real-Time Road Sign Detection Using Bilateral Chinese Transform
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Centroid Based Detection Algorithm for Hybrid Traffic Sign Recognition System
ICETET '10 Proceedings of the 2010 3rd International Conference on Emerging Trends in Engineering and Technology
Real-Time Speed Sign Detection Using the Radial Symmetry Detector
IEEE Transactions on Intelligent Transportation Systems
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This paper presents a real-time traffic sign detection method using color properties and shape-based features for real-world environment applications. The proposed method has two main steps: color-based region segmentation and shape-based verification of the segmented area. In the first step, region-of-interest (ROI) is roughly segmented by a simple color-based thresholding method and each segment is corrected by a guided filter. Next, each ROI is verified through a shape analysis to decide whether the ROI is a circle or a triangle. For detecting circles, we compare three different methods: RSD, BCT, and STVUE. For triangles, RPD, VBT and STVUT were applied. We evaluated these alternatives with 232 experimental images containing 142 circular signs and 82 triangular signs. We found that RSD in the circle detection and STVUT in the triangle detection provide the best detection rates of 93% and 90% respectively. The main contribution of this paper is to present a novel approach for extracting boundary of traffic sign.