Vehicle detection in static road images with PCA-and-Wavelet-Based classifier

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.