Hand tracking and pose recognition via depth and color information
文献类型：会议论文
| 作者 | Cheng Tang; Yongsheng Ou; Guolai Jiang; Qunqun Xie; Yangsheng Xu |
| 出版日期 | 2012 |
| 会议名称 | IEEE International Conference on Robotics and Biomimetics (ROBIO) |
| 会议地点 | 中国 |
| 英文摘要 | As one of the most natural and intuitive way of communication between people and machines, hand gesture is widely used in HCI (Human-Computer-interaction). In this paper, we proposed a novel method for hand tracking and pose recognition based on Kinect. For hand tracking, skin information is used for initialization of hand segmentation, and then a region growing algorithm is applied in the depth image to separate hand from other skin colored objects. Finally, a Kalman filter is used for tracking hand in 3D space. For hand recognition, we decompose the problem of recognizing hand pose into recognizing different finger states. Both contour information of the whole hand and depth information inside the contour are considered for finger states recognition. It is shown in the experiments that our system can track the hand robustly and recognize more than 90% of the hand poses we define for our depth image database. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3916]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Cheng Tang,Yongsheng Ou,Guolai Jiang,et al. Hand tracking and pose recognition via depth and color information[C]. 见:IEEE International Conference on Robotics and Biomimetics (ROBIO). 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
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