Hand gesture target model updating and result forecasting algorithm based on mean shift

doi:10.4304/jmm.8.1.1-7

	Hand gesture target model updating and result forecasting algorithm based on mean shift
	Zou, Xiao; Wang, Heng; Zhang, Qiuyu
刊名	Journal of Multimedia
	2013
卷号	8 期号:1 页码:1-7
关键词	Forecasting Target tracking Background differences Forecasting algorithm Gesture tracking Hand tracking Mean shift algorithm Model updating Skin-color detection Surrounding environment
ISSN号	17962048
DOI	10.4304/jmm.8.1.1-7
英文摘要	To propose a gesture model updating and results forecasting algorithm based on Mean Shift, and to solve the problem of target model changing and influenced tracking results in gesture target tracking process. Firstly, the background difference and skin color detection methods are used to detect and get gesture model, and the Mean Shift algorithm is used to track gesture and update the gesture model, and finally to use the Kalman algorithm to predict the gesture tracking results. The experimental results show that this algorithm reduces the influence of surrounding environment in gesture tracking process, and get better tracking result. © 2013 ACADEMY PUBLISHER.
语种	英语
出版者	Academy Publisher
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/113147]
专题	计算机与通信学院
作者单位	School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
推荐引用方式 GB/T 7714	Zou, Xiao,Wang, Heng,Zhang, Qiuyu. Hand gesture target model updating and result forecasting algorithm based on mean shift[J]. Journal of Multimedia,2013,8(1):1-7.
APA	Zou, Xiao,Wang, Heng,&Zhang, Qiuyu.(2013).Hand gesture target model updating and result forecasting algorithm based on mean shift.Journal of Multimedia,8(1),1-7.
MLA	Zou, Xiao,et al."Hand gesture target model updating and result forecasting algorithm based on mean shift".Journal of Multimedia 8.1(2013):1-7.