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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2020 International Conference on System Science and Engineering, ICSSE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728159607
DOIs
Publication statusPublished - 2020 Aug
Event2020 International Conference on System Science and Engineering, ICSSE 2020 - Kagawa, Japan
Duration: 2020 Aug 312020 Sep 3

Publication series

Name2020 International Conference on System Science and Engineering, ICSSE 2020

Conference

Conference2020 International Conference on System Science and Engineering, ICSSE 2020
Country/TerritoryJapan
CityKagawa
Period2020/08/312020/09/03

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

Fingerprint

Dive into the research topics of 'A CNN-Based Human Head Detection Algorithm Implemented on Edge AI Chip'. Together they form a unique fingerprint.

Cite this