Regular Section
Traffic Light Detection Using Rotated Principal Component Analysis for Video-Based Car Navigation System
2008 Volume E91.D Issue 12 Pages 2884-2887
Details
2008 Volume E91.D Issue 12 Pages 2884-2887
This letter presents a novel approach for traffic light detection in a video frame captured by an in-vehicle camera. The algorithm consists of rotated principal component analysis (RPCA), modified amplitude thresholding with respect to the histograms of the PC planes and final filtering with a neural network. The proposed algorithm achieves an average detection rate of 96% and is very robust to variations in the image quality.