https://scholars.lib.ntu.edu.tw/handle/123456789/631816
標題: | Confidence-selective moving trace approximation using ellipse and line models for hand gesture recognition | 作者: | Wu, You Jia JIAN-JIUN DING |
關鍵字: | face-based skin color model | hand gesture recognition | human-computer interaction | moving object detection | 公開日期: | 1-一月-2023 | 卷: | 12592 | 來源出版物: | Proceedings of SPIE - The International Society for Optical Engineering | 摘要: | Hand gestures play an important role in human-computer interaction (HCI) system. Areas of applications such as sign language recognition, virtual environment, video games and even surgery require people to interact with devices directly with hands. In this paper, we propose a vision-based system to deal with dynamic hand gesture recognition. We focus on 6 types of gestures: 4 directions for swipe and 2 orientations for rotation. The hand gesture can be identified based on the moving trace of the hand in different video frames. However, different from existing algorithms, the proposed method applies the techniques of ellipse and line approximation to well identify the moving trace and reduce the effect of noise. Moreover, the confidence of each frame is determined by the velocity and the continuity of the motion vector. The frame with less confidence will not be adopted in hand gesture approximation. We also develop a face-based skin region detection to adaptively choose a proper color model. The proposed system is hardware-efficient and can achieve a good accuracy. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/631816 | ISBN: | 9781510663084 | ISSN: | 0277786X | DOI: | 10.1117/12.2665335 |
顯示於: | 電機工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。