A hand model updating algorithm based on mean shift

doi:10.1007/978-3-642-53932-9_63

	A hand model updating algorithm based on mean shift
	Zou, Xiao; Wang, Heng; Duan, HongXiang; Zhang, QiuYu
	2013
会议日期	August 16, 2013 - August 18, 2013
会议地点	Singapore
关键词	Target tracking Background subtraction Forecasting algorithm Gesture tracking Hand tracking Mean shift algorithm Skin-color detection Surrounding environment Tracking effects
卷号	391 PART I
DOI	10.1007/978-3-642-53932-9_63
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. © Springer-Verlag Berlin Heidelberg 2013.
会议录	Communications in Computer and Information Science
会议录出版者	Springer Verlag
语种	英语
ISSN号	18650929
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117546]
专题	计算机与通信学院
作者单位	School of Computer and Communication, Lanzhou University of Technology, 730050 Lanzhou, 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:. Singapore. August 16, 2013 - August 18, 2013.