Title :
Vehicle detection in static road images with PCA-and-Wavelet-Based classifier
Author :
Wu, Junwen ; Zhang, Xuegong ; Zhou, Jie
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
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
Keywords :
image classification; object detection; principal component analysis; traffic engineering computing; wavelet transforms; PCA; feature extraction; pattern recognition; static image; static road images; vehicle detection; wavelet transform; Feature extraction; Image recognition; Image sequences; Intelligent systems; Principal component analysis; Roads; Vehicle detection; Vehicles; Videos; Wavelet transforms;
Conference_Titel :
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location :
Oakland, CA
Print_ISBN :
0-7803-7194-1
DOI :
10.1109/ITSC.2001.948752
