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Proceedings Paper

A method for real-time implementation of HOG feature extraction
Author(s): Hai-bo Luo; Xin-rong Yu; Hong-mei Liu; Qing-hai Ding
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Paper Abstract

Histogram of oriented gradient (HOG) is an efficient feature extraction scheme, and HOG descriptors are feature descriptors which is widely used in computer vision and image processing for the purpose of biometrics, target tracking, automatic target detection(ATD) and automatic target recognition(ATR) etc. However, computation of HOG feature extraction is unsuitable for hardware implementation since it includes complicated operations. In this paper, the optimal design method and theory frame for real-time HOG feature extraction based on FPGA were proposed. The main principle is as follows: firstly, the parallel gradient computing unit circuit based on parallel pipeline structure was designed. Secondly, the calculation of arctangent and square root operation was simplified. Finally, a histogram generator based on parallel pipeline structure was designed to calculate the histogram of each sub-region. Experimental results showed that the HOG extraction can be implemented in a pixel period by these computing units.

Paper Details

Date Published: 27 August 2011
PDF: 7 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 819302 (27 August 2011); doi: 10.1117/12.901081
Show Author Affiliations
Hai-bo Luo, Shenyang Institute of Automation (China)
Key Lab. of Optical-Electronics Information Processing (China)
Key Lab. of Image Understanding and Computer Vision (China)
Xin-rong Yu, Shenyang Institute of Automation (China)
Graduate Univ. of the Chinese Academy of Sciences (China)
Key Lab. of Optical-Electronics Information Processing (China)
Hong-mei Liu, AVIC Hongdu Aviation Industry Group Ltd. (China)
Qing-hai Ding, Republic of China Air Force (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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