QQ客服 官方微博 反馈留言

	Hand tracking and pose recognition via depth and color information
	Cheng Tang; Yongsheng Ou; Guolai Jiang; Qunqun Xie; Yangsheng Xu
	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
内容类型	会议论文
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.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。