Hardware-oriented Algorithm for Human Detection using GMM-MRCoHOG Features

Ryogo Takemoto, Yuya Nagamine, Kazuki Yoshihiro, Masatoshi Shibata, Hideo Yamada, Yuichiro Tanaka, Shuichi Enokida, Hakaru Tamukoh

2022

Abstract

In this research, we focus on Gaussian mixture model-multiresolution co-occurrence histograms of oriented gradients (GMM-MRCoHOG) features using luminance gradients in images and propose a hardware-oriented algorithm of GMM-MRCoHOG to implement it on a field programmable gate array (FPGA). The proposed method simplifies the calculation of luminance gradients, which is a high-cost operation in the conventional algorithm, by using lookup tables to reduce the circuit size. We also designed a human-detection digital architecture of the proposed algorithm for FPGA implementation using high-level synthesis. The verification results showed that the processing speed of the proposed architecture was approximately 123 times faster than that of the FPGA implementation of VGG-16.

Paper Citation

in Harvard Style

Takemoto R., Nagamine Y., Yoshihiro K., Shibata M., Yamada H., Tanaka Y., Enokida S. and Tamukoh H. (2022). Hardware-oriented Algorithm for Human Detection using GMM-MRCoHOG Features. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5, SciTePress, pages 749-757. DOI: 10.5220/0010848100003124

in Bibtex Style

@conference{visapp22,
author={Ryogo Takemoto and Yuya Nagamine and Kazuki Yoshihiro and Masatoshi Shibata and Hideo Yamada and Yuichiro Tanaka and Shuichi Enokida and Hakaru Tamukoh},
title={Hardware-oriented Algorithm for Human Detection using GMM-MRCoHOG Features},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP},
year={2022},
pages={749-757},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010848100003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP
TI - Hardware-oriented Algorithm for Human Detection using GMM-MRCoHOG Features
SN - 978-989-758-555-5
AU - Takemoto R.
AU - Nagamine Y.
AU - Yoshihiro K.
AU - Shibata M.
AU - Yamada H.
AU - Tanaka Y.
AU - Enokida S.
AU - Tamukoh H.
PY - 2022
SP - 749
EP - 757
DO - 10.5220/0010848100003124
PB - SciTePress