手势交互中手部目标的动态分割  

Dynamic Segmentation of Hand Gesture in Hand Interaction

作　　者：郭北苑[1] 方卫宁[1] 

机构地区：[1]北京交通大学机械与电子控制工程学院,北京100044

出　　处：《系统仿真学报》2005年第2期403-405,共3页Journal of System Simulation

摘　　要：讨论一种结合背景消除与图像形态学滤波的手部目标动态分割方法。首先,将输入图像与经过线性卡尔曼滤波提取的不包含前景运动目标的背景图像相比较,由此得到去除了背景的新图像,然后,对该图像进行图像形态学重建滤波与闭运算以去除孔洞与噪声。因为卡尔曼滤波可以实现背景图像的自适应提取,该方法可有效地实现复杂背景中手部目标的动态分割。A method on dynamic segmentation of hand gesture using background image abstraction and morphological operations is discussed. Based on the comparison between current input image and background image abstracted by Kalman filter, new images without background are found. Then the holes and noise of the images are filled and removed using morphological reconstruction and close operation. Since Kalman filter can find background automatically, this method can be used in dynamic segmentation of hand gesture from complex background effectively.

关 键 词：手势分割 复杂背景 图像处理 虚拟现实 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]