Title :
A Review on Vision-Based Pedestrian Detection for Intelligent Vehicles
Author :
Li, Zhenjiang ; Wang, Kunfeng ; Li, Li ; Wang, Fei-Yue
Author_Institution :
Chinese Acad. of Sci., Beijing
Abstract :
Vision-based pedestrian detection techniques for smart vehicles have emerged as a hot research topic in the field of vehicular electronics and driving safety. A vision-based system can recognize pedestrians in front of the moving vehicle, then warns the driver of the dangerous situation loudly or slows the vehicle down automatically to protect both drivers and pedestrians. In general, the vision-based pedestrian detection process can be divided into three consecutive steps: pedestrian detection, pedestrian recognition, and pedestrian tracking. In this paper, a great variety of methods associated with these three steps is introduced and compared in detail. In addition, the implementation of vision-based pedestrian detection on vehicles is also presented. In the end, we analyze the difficulties and the research trend in the future.
Keywords :
computer vision; driver information systems; image classification; road accidents; road safety; road vehicles; image classification; intelligent vehicle; pedestrian tracking; road safety; vision-based pedestrian detection; Driver circuits; Intelligent vehicles; Microwave sensors; Protection; Radar detection; Road accidents; Vehicle detection; Vehicle driving; Vehicle safety; Vehicular and wireless technologies; Vehicular electronics; pedestrian detection; pedestrian tracking; vision-based driver assistance;
Conference_Titel :
Vehicular Electronics and Safety, 2006. ICVES 2006. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0759-1
Electronic_ISBN :
1-4244-0759-1
DOI :
10.1109/ICVES.2006.371554