A vision-based human action recognition system for companion robots and human interaction

Meng Lin Chiang, Jian Kai Feng, Wen Lin Zeng, Chiung Yao Fang, Sei Wang Chen

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 a vision-based human action recognition system to support human interaction for companion robots. The system is divided into three parts: motion map construction, feature extraction, and human action classification. First, the Kinect 2.0 captures depth images and color images simultaneously using its depth sensor and RGB camera. Second, the information in the depth images and the color images are respectively used to three depth motion maps and a color motion map. These are then combined into one image to calculate the corresponding histogram of oriented gradient (HOG) features. Finally, a support vector machine (SVM) recognizes these HOG features as human actions. The proposed system can recognize eight kinds of human actions, wave left hand, wave right hand, holding left hand, holding right hand, hugging, bowing, walking, and punching. Three databases were used to test the proposed system: Database1 includes videos of adult actions, Database2 includes videos of child actions, and Database3 includes human action videos taken with a moving camera. The recognition accuracy rates of the three tests were 88.7%, 74.37%, and 51.25%, respectively. The experimental results show that the proposed system is efficient and robust.

原文英語
主出版物標題2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1445-1452
頁數8
ISBN(電子)9781538683392
DOIs
出版狀態已發佈 - 2018 十二月
事件4th IEEE International Conference on Computer and Communications, ICCC 2018 - Chengdu, 中国
持續時間: 2018 十二月 72018 十二月 10

出版系列

名字2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018

會議

會議4th IEEE International Conference on Computer and Communications, ICCC 2018
國家/地區中国
城市Chengdu
期間2018/12/072018/12/10

ASJC Scopus subject areas

  • 電腦網路與通信
  • 訊號處理

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