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应用背景实时法根据肤色配方和Haar特征检测方面识别手势，然后跟踪轨迹的隐马尔可夫模型，并相应的手势识别。关键技术这个项目提供了一个实时的方法来识别手手势通过处理所捕获的视频的摄像头连接到计算机。这种方法开始检测手根据几个特点，如颜色，大小和形状，然后跟踪手的轨迹和手的变化分析位置，终于认识到相应的手势。此外，我们使用该系统在建筑的应用：第一个是与操作系统相连的演示控制器用户可以通过一定的控制来控制幻灯片的显示顺序手势，而第二个应用程序是一个照片浏览器，我们“手势图片浏览器”中，用户可以控制他手上的照片也用特殊的姿势来浏览在浏览器中的功能；

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