A hand model updating algorithm based on mean shift

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

IR > 计算机与通信学院

	A hand model updating algorithm based on mean shift
	Zou, Xiao; Wang, Heng; Duan, HongXiang; Zhang, QiuYu
	2013
会议名称	4th International Conference on Information Computing and Applications, ICICA 2013
会议录名称	Communications in Computer and Information Science
卷号	391 PART I
页码	651-660
会议日期	August 16, 2013 - August 18, 2013
会议地点	Singapore
出版者	Springer Verlag
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.
关键词	Target tracking Background subtraction Forecasting algorithm Gesture tracking Hand tracking Mean shift algorithm Skin-color detection Surrounding environment Tracking effects
DOI	10.1007/978-3-642-53932-9_63
收录类别	EI
语种	英语
EI入藏号	20142417808956
EI主题词	Gesture recognition
ISSN	18650929
来源库	Compendex
分类代码	716.2 Radar Systems and Equipment - 723 Computer Software, Data Handling and Applications - 921 Mathematics
引用统计	无
文献类型	会议论文
条目标识符	https://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
第一作者单位	兰州理工大学
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]:Springer Verlag,2013:651-660.