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Vision-based Hand Tracking and Gesture Recognition for Augmented Assembly System

机译：增强装配系统的基于视觉的手部追踪和手势识别

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摘要

A real time hand tracking and gesture recognition approach which can deal with dynamic backgrounds is presented. This approach is based on computer vision. It segments hand from dynamic backgrounds using the color-based and appearance-based methods. Then, it locates the hand according to marker on the hand. Last, it recognizes the gesture based on geometry constraint of hand. In comparison with the traditional approaches, it provides a good real time performance, is easy to realize, does not require a stationary camera and is not sensitive with intensity different because its gesture recognition does not depend on the templates. Moreover, an augmented assembly system using the presented approach is described. The experiment result of the augmented assembly system demonstrated the effectiveness and robustness of our approach.

机译：提出了一种可以处理动态背景的实时手部跟踪和手势识别方法。此方法基于计算机视觉。它使用基于颜色和基于外观的方法从动态背景中分割手。然后，它根据手上的标记定位该手。最后，它基于手的几何约束识别手势。与传统方法相比，它的手势识别不依赖于模板，因此提供了良好的实时性能，易于实现，不需要固定相机并且对强度不敏感。此外，描述了使用提出的方法的增强组装系统。增强装配系统的实验结果证明了我们方法的有效性和鲁棒性。

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来源
《Manufacturing Automation Technology》|2008年|1030-1036|共7页
会议地点 Harbin(CN);Harbin(CN)
作者
Y.M. Wu; H.W. He; J. Sun; T. Ru; D.T. Zheng;
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作者单位

Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510090, China;

Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510090, China;

Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510090, China;

Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510090, China;

Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510090, China;

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原文格式 PDF
正文语种 eng
中图分类机械制造工艺;
关键词
computer Vision; virtual assembly; augmented reality; gesture recognition;

机译：计算机视觉;虚拟装配；增强现实;手势识别;

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专利

1. Vision-based Hand Tracking And Gesture Recognition For Augmented Assembly System [J] . Y.M. Wu, H.W. He, J. Sun, Key Engineering Materials . 2009,第期

机译：增强装配系统的基于视觉的手部跟踪和手势识别
2. Human-computer interaction using vision-based hand gesture recognition systems: a survey [J] . Haitham Hasan, Sameem Abdul-Kareem Neural computing & applications . 2014,第2期

机译：使用基于视觉的手势识别系统进行人机交互：一项调查
3. Real-time tracking of multiple fingertips and gesture recognition for augmented desk interface systems [J] . Kenji Oka, Yoichi Sato, Yasuto Nakanishi, 電子情報通信学会技術研究報告. パターン認識·メディア理解. Pattern Recognition and Media Understanding . 2001,第568期

机译：实时跟踪多个指尖和手势识别，以增强办公桌界面系统
4. Vision-based Hand Tracking and Gesture Recognition for Augmented Assembly System [C] . Conference of China University Society on Manufacturing Automation . 2009

机译：基于视觉的手动跟踪和增强组装系统的手势识别
5. Real-time vision-based hand tracking and gesture recognition. [D] . Chen, Qing. 2008

机译：基于视觉的实时手部跟踪和手势识别。
6. An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System [O] . Hong-Min Zhu, Chi-Man Pun -1

机译：基于自适应超像素的手势跟踪与识别系统
7. Hands tracking from frontal view for vision-based gesture recognition [O] . Jörg Zieren, Nils Unger, Suat Akyol 2002

机译：手从正面视图跟踪基于视觉的手势识别

Vision-based Hand Tracking and Gesture Recognition for Augmented Assembly System

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