A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip

Fang Jing Shen; Jian Hao Chen; Wei Yen Wang; Dien Lin Tsai; Lien Chieh Shen; Ching Tung Tseng

doi:10.1109/ICSSE50014.2020.9219260

A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip

Fang Jing Shen
, Jian Hao Chen
, Wei Yen Wang
, Dien Lin Tsai
, Lien Chieh Shen
, Ching Tung Tseng

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

This paper presents an integrated circuit implementation of a human head detection algorithm. The technique of image data augmentation for deep learning and the operating procedures of the evaluation board named as Mipy are described in the article. Experimental results demonstrate the effectiveness of the proposed evaluation board to detect the human heads in indoor environments.

Original language	English
Title of host publication	2020 International Conference on System Science and Engineering, ICSSE 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728159607
DOIs	https://doi.org/10.1109/ICSSE50014.2020.9219260
Publication status	Published - 2020 Aug
Event	2020 International Conference on System Science and Engineering, ICSSE 2020 - Kagawa, Japan Duration: 2020 Aug 31 → 2020 Sept 3

Publication series

Name	2020 International Conference on System Science and Engineering, ICSSE 2020

Conference

Conference	2020 International Conference on System Science and Engineering, ICSSE 2020
Country/Territory	Japan
City	Kagawa
Period	2020/08/31 → 2020/09/03

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

convolutional neural network (CNN)
edge AI chip
human head detection

ASJC Scopus subject areas

Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Civil and Structural Engineering
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/ICSSE50014.2020.9219260

Cite this

Shen, F. J., Chen, J. H., Wang, W. Y., Tsai, D. L., Shen, L. C., & Tseng, C. T. (2020). A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip. In 2020 International Conference on System Science and Engineering, ICSSE 2020 Article 9219260 (2020 International Conference on System Science and Engineering, ICSSE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSSE50014.2020.9219260

A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip. / Shen, Fang Jing; Chen, Jian Hao; Wang, Wei Yen et al.
2020 International Conference on System Science and Engineering, ICSSE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9219260 (2020 International Conference on System Science and Engineering, ICSSE 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shen, FJ, Chen, JH, Wang, WY, Tsai, DL, Shen, LC & Tseng, CT 2020, A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip. in 2020 International Conference on System Science and Engineering, ICSSE 2020., 9219260, 2020 International Conference on System Science and Engineering, ICSSE 2020, Institute of Electrical and Electronics Engineers Inc., 2020 International Conference on System Science and Engineering, ICSSE 2020, Kagawa, Japan, 2020/08/31. https://doi.org/10.1109/ICSSE50014.2020.9219260

Shen FJ, Chen JH, Wang WY, Tsai DL, Shen LC, Tseng CT. A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip. In 2020 International Conference on System Science and Engineering, ICSSE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9219260. (2020 International Conference on System Science and Engineering, ICSSE 2020). doi: 10.1109/ICSSE50014.2020.9219260

@inproceedings{31e603e95f4c49ed8971f321ccfc7df7,

title = "A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip",

abstract = "This paper presents an integrated circuit implementation of a human head detection algorithm. The technique of image data augmentation for deep learning and the operating procedures of the evaluation board named as Mipy are described in the article. Experimental results demonstrate the effectiveness of the proposed evaluation board to detect the human heads in indoor environments.",

keywords = "convolutional neural network (CNN), edge AI chip, human head detection",

author = "Shen, \{Fang Jing\} and Chen, \{Jian Hao\} and Wang, \{Wei Yen\} and Tsai, \{Dien Lin\} and Shen, \{Lien Chieh\} and Tseng, \{Ching Tung\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference on System Science and Engineering, ICSSE 2020 ; Conference date: 31-08-2020 Through 03-09-2020",

year = "2020",

month = aug,

doi = "10.1109/ICSSE50014.2020.9219260",

language = "English",

series = "2020 International Conference on System Science and Engineering, ICSSE 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 International Conference on System Science and Engineering, ICSSE 2020",

}

TY - GEN

T1 - A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip

AU - Shen, Fang Jing

AU - Chen, Jian Hao

AU - Wang, Wei Yen

AU - Tsai, Dien Lin

AU - Shen, Lien Chieh

AU - Tseng, Ching Tung

PY - 2020/8

Y1 - 2020/8

N2 - This paper presents an integrated circuit implementation of a human head detection algorithm. The technique of image data augmentation for deep learning and the operating procedures of the evaluation board named as Mipy are described in the article. Experimental results demonstrate the effectiveness of the proposed evaluation board to detect the human heads in indoor environments.

AB - This paper presents an integrated circuit implementation of a human head detection algorithm. The technique of image data augmentation for deep learning and the operating procedures of the evaluation board named as Mipy are described in the article. Experimental results demonstrate the effectiveness of the proposed evaluation board to detect the human heads in indoor environments.

KW - convolutional neural network (CNN)

KW - edge AI chip

KW - human head detection

UR - https://www.scopus.com/pages/publications/85095601456

UR - https://www.scopus.com/pages/publications/85095601456#tab=citedBy

U2 - 10.1109/ICSSE50014.2020.9219260

DO - 10.1109/ICSSE50014.2020.9219260

M3 - Conference contribution

AN - SCOPUS:85095601456

T3 - 2020 International Conference on System Science and Engineering, ICSSE 2020

BT - 2020 International Conference on System Science and Engineering, ICSSE 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 International Conference on System Science and Engineering, ICSSE 2020

Y2 - 31 August 2020 through 3 September 2020

ER -

A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this