计算机工程与应用Issue(22)：199-202,4.DOI:10.3778/j.issn.1002-8331.1212-0313
基于运动历史图像和椭圆拟合的手势分割
Hand gesture segmentation based on MHI and ellipse fitting
摘要
Abstract
For general gesture segmentation method is more difficult to adapt to the complex light environment, this paper proposes a new method. Firstly, the method obtains Motion History Images(MHI)from a video sequence and segment motion regions from MHIs. Then it chooses the hand gesture region from these regions. In order to overcome the problem of excessive segmentation, it uses the outline of the current movement of the region to do ellipse fitting, so that it can obtain a more accurate hand gesture segmentation result. Experimental results show that the proposed method can segment hand gesture effectively and have a greater ability to adapt to different light environment compared with general method.关键词
手势分割/帧间差分/运动分割/运动历史图像/椭圆拟合Key words
hand gesture segmentation/inter frame difference/motion segmentation/motion history image/ellipse fitting分类
信息技术与安全科学引用本文复制引用
史久根,陈志辉..基于运动历史图像和椭圆拟合的手势分割[J].计算机工程与应用,2014,(22):199-202,4.基金项目
国家自然科学基金（No.60873003）。 （）
