Title :
A new pedestrian detection algorithm used for Advanced Driver-Assistance System with one cheap camera
Author :
Yuanjie Wang ; Fuqiang Liu
Author_Institution :
Electron. & Inf. Eng. Coll., Tongji Univ., Shanghai, China
Abstract :
This paper presents a new pedestrian detection algorithm used in Advanced Driver-Assistance System with only one camera aiming to improving traffic safety. The new pedestrian detection algorithm differs from traditional pedestrian detection algorithm, which only focuses on pedestrian detection rate or pedestrian detection accuracy. Conversely, the proposed algorithm focuses on both the accuracy and the rate. Some new features are proposed to improve pedestrian detection rate of the system. Also we use color difference to decrease the false detecting rate. The experimental results show that the pedestrian detection rate can be around 90% and the false detecting rate is 3%. Moreover, the new algorithm has been proved that it´s available in real ADASs.
Keywords :
driver information systems; object detection; pedestrians; road safety; road traffic; ADAS; advanced driver-assistance system; camera; pedestrian detection algorithm; traffic safety; Accidents; Cameras; Detection algorithms; Educational institutions; Feature extraction; Refining; Vehicles; accuracy; detection rate; false alarm; feature; pedestrian detection;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885270