HOG Feature Extractor Circuit for Real-time Human and Vehicle Detection

被引：0

作者：

Lee, Seonyoung ^{[1
]}

Son, Haengseon ^{[1
]}

Choi, Jong Chan ^{[1
]}

Min, Kyoungwon ^{[1
]}

机构：

[1] Korea Elect Technol Inst, SoC Platform Res Ctr, Songnam, South Korea

来源：

TENCON 2012 - 2012 IEEE REGION 10 CONFERENCE: SUSTAINABLE DEVELOPMENT THROUGH HUMANITARIAN TECHNOLOGY | 2012年

关键词：

HOG; human detection; vehicle detection; real-time; hardware circuit;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Smart vehicle technologies such as ADAS are growing concern about. Especially, pedestrian and vehicle recognition system based on machine vision is a big issue. In this paper, we propose the hardwired HOG feature extractor circuit for real-time human and vehicle detection, and describe the hardware implementation results. Our HOG feature extractor supports weighted gradient value, 2D histogram interpolation and block normalization. We have used the simplified methods of the square root and division operation for the hardware implementation. Our HOG feature extractor circuit was verified on FPGA environment and can be processed 33 frames per seconds for 640x480 VGA images in real-time.

引用

页数：5

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