標題: Real-time Pedestrian Detection Technique for Embedded Driver Assistance Systems
作者: Chiang, Chuan-Yen
Chen, Yen-Lin
Ke, Kun-Cing
Yuan, Shyan-Ming
資訊工程學系
Department of Computer Science
公開日期: 2015
摘要: Fast detection of pedestrians moving across the roads is a big challenge for in-vehicle embedded systems. Because the shape features of on-road pedestrians are irregular and complex, so that the detection techniques cost large computational resources. However, the in-vehicle embedded systems only have limited computational resources. To resolve this challenge, we propose fast pedestrian detection algorithms based on histogram of oriented gradients (HOGs), and support vector machines (SVMs). The proposed techniques are evaluated and implemented on a digital signal processing (DSP) based embedded platform. The experimental results demonstrate that the proposed detection techniques can provide high computational efficiency and detection accuracy.
URI: http://hdl.handle.net/11536/134546
ISBN: 978-1-4799-7543-3
ISSN: 2158-3994
期刊: 2015 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)
起始頁: 206
結束頁: 207
Appears in Collections:Conferences Paper