文章基本信息

标题：Design of embedded architecture for pedestrian detection in image and video
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作者：Taoufik Salem Saidani ; Yahia Fahem Said
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2017
卷号：17
期号：12
页码：120-129
出版社：International Journal of Computer Science and Network Security
摘要：Today, pedestrian detection by real-time embedded systems remains a major challenge due to a number of factors. The task of detecting pedestrians in a road scene requires enormous time and resources. In this paper, a hardware architecture for pedestrian detection system is proposed. The system consists of a HOG descriptor extractor and an SVM classifier. The design is carried out using Xilinx's design tools: Vivado IPI, Vivado HLS and SDK for Hardware-Software Co-Design. The performance analysis of the implementation shows a significant acceleration in the classification process with a reduction of the energy consumption and logical resources required. As a result, with the tools chosen, the proposed architecture has the capability to support a real-time pedestrian detection system for HD video at 180 frames per second.
关键词：Pedestrian detection HOG-SVM Embedded architecture Zynq APSoC Real-time processing