Detecting vehicles from static road images is a difficult task since motion information is no longer usable. This paper presents an algorithm for this task with a pattern classifier built on the principal component analysis or PCA technique. Wavelet transform is adopted in feature extraction phase. Experiments on real road images show the effectiveness of this algorithm
Published in:
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Date of Conference: 2001