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 | |
| 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 |
UN SDG
此研究成果有助於以下永續發展目標
-
SDG 7 可負擔的潔淨能源
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
指紋
深入研究「A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip」主題。共同形成了獨特的指紋。引用此
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