Title :
Mono-camera based vehicle detection using effective candidate generation
Author :
Jang Woon Baek ; Kee-Koo Kwon ; Soo-In Lee
Author_Institution :
Automotive IT Platform Res. Sect., ETRI, Daegu, South Korea
Abstract :
This paper proposes a novel on-road vehicle detection algorithm for Advanced Driver Assistance Systems. The proposed algorithm uses shadow and edge information of original image to generate the candidate vehicles. The proposed algorithm extracts the shadow region darker than the road, and creates an edge image using the Canny edge detector. It performs AND operation between the shadow image and the edge image. The candidate vehicles are verified by SVM classifier based on the HOG feature vector. The experimental results show that the proposed algorithm provides fast and accurate vehicle detection. And the number of candidates is reasonable for the vehicle verification.
Keywords :
driver information systems; edge detection; object detection; pattern classification; support vector machines; Canny edge detector; HOG feature vector; SVM classifier; advanced driver assistance systems; candidate generation; edge image; monocamera; on-road vehicle detection algorithm; Classification algorithms; Feature extraction; Image edge detection; Roads; Support vector machine classification; Vehicle detection; Vehicles; classifier; edge; mono camera; shadow; vehicle detection;
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
DOI :
10.1109/ISCE.2014.6884432
