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

電機工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章

3 引文斯高帕斯（Scopus）

摘要

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.

原文	英語
主出版物標題	2020 International Conference on System Science and Engineering, ICSSE 2020
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9781728159607
DOIs	https://doi.org/10.1109/ICSSE50014.2020.9219260
出版狀態	已發佈 - 2020 8月
事件	2020 International Conference on System Science and Engineering, ICSSE 2020 - Kagawa, 日本持續時間: 2020 8月 31 → 2020 9月 3

出版系列

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

會議

會議	2020 International Conference on System Science and Engineering, ICSSE 2020
國家/地區	日本
城市	Kagawa
期間	2020/08/31 → 2020/09/03

ASJC Scopus subject areas

人工智慧
能源工程與電力技術
可再生能源、永續發展與環境
土木與結構工程
電氣與電子工程
控制和優化

UN SDG

此研究成果有助於以下永續發展目標

存取文件

10.1109/ICSSE50014.2020.9219260

其它文件與鏈接

引用此

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. 於 2020 International Conference on System Science and Engineering, ICSSE 2020 文章 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 等.
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).

研究成果: 書貢獻/報告類型 › 會議論文篇章

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. 於 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, 日本, 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. 於 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

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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 = "Funding Information: ACKNOWLEDGMENT This work was financially supported by the “Chinese Language and Technology Center” of the National Taiwan Normal University (NTNU) from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan, and Ministry of Science and Technology, Taiwan, under Grants no. MOST 109-2634-F-003-006 and MOST 109-2634-F-003-007 through Pervasive Artificial Intelligence Research (PAIR) Labs. We are grateful to the National Center for High-performance Computing for computer time and facilities to conduct this research. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference on System Science and Engineering, ICSSE 2020 ; Conference date: 31-08-2020 Through 03-09-2020",

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doi = "10.1109/ICSSE50014.2020.9219260",

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AU - Chen, Jian Hao

AU - Wang, Wei Yen

AU - Tsai, Dien Lin

AU - Shen, Lien Chieh

AU - Tseng, Ching Tung

N1 - Funding Information: ACKNOWLEDGMENT This work was financially supported by the “Chinese Language and Technology Center” of the National Taiwan Normal University (NTNU) from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan, and Ministry of Science and Technology, Taiwan, under Grants no. MOST 109-2634-F-003-006 and MOST 109-2634-F-003-007 through Pervasive Artificial Intelligence Research (PAIR) Labs. We are grateful to the National Center for High-performance Computing for computer time and facilities to conduct this research. Publisher Copyright: © 2020 IEEE.

PY - 2020/8

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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

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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

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