文章基本信息

标题：Hand Gesture Target Model Updating and Result Forecasting Algorithm based on Mean Shift
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作者：Zou, Xiao ; Wang, Heng ; Zhang, Qiuyu 等
期刊名称：Journal of Multimedia
印刷版ISSN：1796-2048
出版年度：2013
卷号：8
期号：1
页码：1-7
DOI：10.4304/jmm.8.1.1-7
语种：English
出版社：Academy Publisher
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.
关键词：Mean shift algorithm;Hand tracking;Gesture model;Result forecasting