Local Haar-like Features in Edge Maps for Pedestrian Detection

摘要：

Pedestrian detection is a significant problem in computer vision. Dollar et al. at 1 indicate that current methods are not efficient enough to solve the problem and it remains challenging. Besides, most of the proposed features are also not efficient in describing the features of pedestrians. In this paper, we concentrate on this issue and introduce the local Haar-like features in edge maps to describe the edge/contour of pedestrians efficiently. To reduce the background noise, localized normalization is proposed. Also the integral and tilted integral images are applied to fast extraction of the feature values. The experiments on pedestrian detection show both the describing and computational efficiency of the proposed features.

关键词： local Haar-like features pedestrian detection edge features fast extraction algorithm.

作者: Yali LI Wenhao Lu Shengjin WANG Xiaoqing DING

作者单位: State Key Laboratory of Intelligent Technology and Systems Department of Electronic Engineering, Tsinghua University Beijing, P.R.China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1445-1448

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）