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
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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. |
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