【摘要】 介绍了一种实时监视系统 ,该系统可以捕获正在进入摄像机镜头的物体 ,并识别其是否是人类 .所采用的主要方法是 ,预处理其中包含了除背景之外的其它物体的图像 ,即 ,去掉背景图像 ,并得到该物体的形状图像 ,然后提取其七个不变矩 ,利用贝叶斯分类器做主要手段对不变矩进行分类 ,另外采用辅助手段修正分类结果 ,识别该物体的形状是否为人形 ,从而判断出是否有人类经过更多还原

【Abstract】 In this paper,we presente a real-time monitoring system,which can capture the object moving before the camera lens,and recognize the object being human or not present. Following are the approach used in this system. First,we pretreat the image which include the other object besides background,viz. get rid of background image and obtain the shape image of the object. Second,we calculate the seven moment invariants of that image. Finally,we use Beyas assorting approach as main method assort the moment invariants and use other assistant methods to correct the result in order to recognize the human shape and judge whether human has passed or not.更多还原