Presentation 2009-06-11
Hardware Implementation of HOG feature Extraction for Real-time Pedestrian Recognition
Ryoji KADOTA, Yukihiro NAKAMURA, Ryusuke MIYAMOTO,
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Abstract(in English) Pedestrian recognition is one of the most challenging problems in the field of computer vision. In this study, feature extraction method using Histograms of Oriented Gradients (HOG) is focused on. HOG is an efficient feature extraction scheme, however, the computational effort of feature extraction is too much. Therefore, this paper proposes a hardware architecture to accelerate calculation of HOG features for real-time pedestrian recognition. The proposed hardware architecture exploits the following two techniques; mathematical functions unsuitable for hardware implementation are replaced with optimal functions, and floating-point numbers are replaced with fixed-point ones. The proposed hardware is synthesized for FPGA. The result shows this hardware performs real-time processing with a small circuit size
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Keyword(in English) HOG feature / Histograms of Oriented Gradients / Pedestrian Recognition / Hardware Implementation
Paper # SIS2009-8
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Committee SIS
Conference Date 2009/6/4(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Hardware Implementation of HOG feature Extraction for Real-time Pedestrian Recognition
Sub Title (in English)
Keyword(1) HOG feature
Keyword(2) Histograms of Oriented Gradients
Keyword(3) Pedestrian Recognition
Keyword(4) Hardware Implementation
1st Author's Name Ryoji KADOTA
1st Author's Affiliation Dept. of Communications and Computer Engineering Graduate School of Informatics, Kyoto University()
2nd Author's Name Yukihiro NAKAMURA
2nd Author's Affiliation Ritsumeikan University Research Organization of Science and Engineering
3rd Author's Name Ryusuke MIYAMOTO
3rd Author's Affiliation Nara Institute of Science and Technology, Graduate School of Information Systems, Communications Laboratory
Date 2009-06-11
Paper # SIS2009-8
Volume (vol) vol.109
Number (no) 78
Page pp.pp.-
#Pages 6
Date of Issue