Real-time Infrared Pedestrian Detection Based on Multi-block LBP

摘要：

This paper presents a real-time infrared pedestrian detection algorithm based on multi-block LBP features. Local pattern feature has been successfully used in many computer vision applications. However, to our best knowledge, it has not been utilized for pedestrian detection in infrared imagery. We exploit the discriminative power and computational simplicity of local pattern features for real-time infrared pedestrian detection. The proposed approach has been implemented on an experimental vehicle equipped with a forward-looking infrared (FLIR) camera. Experimental results under different urban street scenarios prove that our method is robust and efficient

关键词： pedestrian detection infrared imagery local pattern feature moving platform

作者: Dong Xia Hao Sun Zhenkang Shen

作者单位: School of Electrical Science and Engineering National University of Defense Technology Changsha 410072, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 139-142

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）