A Hand Model Updating Algorithm Based on Mean Shift

	A Hand Model Updating Algorithm Based on Mean Shift
	Zou, Xiao; Wang, Heng; Duan, HongXiang; Zhang, QiuYu
	2013
关键词	Mean Shift Algorithm Hand Tracking Gesture Model
卷号	391
页码	651-660
英文摘要	To solve the problem of target model changing and influenced tracking results in gesture target tracking process, this paper proposed a gesture model updating and results forecasting algorithm based on Mean Shift. The algorithm firstly uses the background subtraction and skin color detection methods to detect and obtain gesture modeling, and then uses the Mean Shift algorithm to track gesture and update the gesture model, finally uses the Kalman algorithm to predict the gesture tracking results. The experimental results show that this algorithm reduces influence of surrounding environment in gesture tracking process, tracking effect is good.
会议录	INFORMATION COMPUTING AND APPLICATIONS, ICICA 2013, PT I
会议录出版者	SPRINGER-VERLAG BERLIN
会议录出版地	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语
WOS研究方向	Computer Science
WOS记录号	WOS:000349162600063
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36904]
专题	计算机与通信学院
通讯作者	Zou, Xiao
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Zou, Xiao,Wang, Heng,Duan, HongXiang,et al. A Hand Model Updating Algorithm Based on Mean Shift[C]. 见:.