Survey on pedestrian detection technology for on-board vision systems
车载视觉系统中的行人检测技术综述

As one of the most important areas of research in the domain of computer vision and intelligent vehicles, pedestrian detection of on-board vision systems has attracted extensive interest from the research community. In order to show the general idea of the latest development of this technology, we focus on the improvement of the two major modules since 2005: regions of interest (ROIs) segmentation and object recognition. First, we classify the typical methods in the field of ROIs segmentation according to the information used in segmentation and analyze their respective pros and cons. Then, we summarize the improvement of object recognition on the feature extraction, classifier construction, and the search framework. Finally, future research trends are proposed.