Title :
On-road vehicle detectioin using histograms of multi-scale orientations
Author :
Kong, Fanjing ; Ye, Qixiang ; Zhang, Ning ; Lu, Ke ; Jiao, Jianbin
Author_Institution :
Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
In this paper, we investigated a new feature set, called the histograms of multi-scale orientations (H-MSO), for vehicle representation and detection. The multi-scale orientations on image pixels are calculated using Gabor filters of different scale and orientation parameters. Firstly, we divide the image into cells, and calculate the histograms of multi-scale orientations in each cell by statistics. Then, the values of histogram bins are normalized in each four adjacent cells and are assembled to form the feature set. Finally, the feature set is used to train an SVM classifier for on-road vehicle detection. Experiments validate the proposed feature set and the detection algorithm.
Keywords :
Gabor filters; image recognition; pattern classification; support vector machines; Gabor filters; SVM classifier; feature set; histogram bins; histograms; image pixel; multi-scale orientations; on-road vehicle detection; support vector machine; vehicle representation; Detection algorithms; Gabor filters; Histograms; Neural networks; Statistics; Support vector machine classification; Support vector machines; Vehicle detection; Vehicle driving; Vehicles; Gabor filter; SVM classifier; Vehicle detection; histogram;
Conference_Titel :
Information, Computing and Telecommunication, 2009. YC-ICT '09. IEEE Youth Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5074-9
Electronic_ISBN :
978-1-4244-5076-3
DOI :
10.1109/YCICT.2009.5382389
