结合对称差分和边界信息的运动目标检测方法

Method of motion detection based on symmetrical differencing and edge information

针对对称差分法检测目标时容易产生空洞以及当目标运动较慢或尺寸较小时易出现漏检等缺点,提出了一种将对称差分和边界信息相结合的运动目标检测算法。首先选取合适的阈值将对称差分得到的差分图像二值化,然后将二值图像相与的结果像进行形态学滤波确定目标的粗略位置;同时对中间帧进行边缘检测,将检测结果与确定的运动目标粗略位置进行交运算,得到运动目标的边界,再经过区域填充等处理获得准确的运动目标。实验结果表明该方法能对运动目标进行准确检测,且具有很好的鲁棒性。

Considering disadvantages of that symmetrical differencing easily generate empty and when the object running slower or the size is smaller to easily appear leak to check etc, a method of motion detection combining symmetrical differencing and edge information is proposed. First, it selects the appropriate threshold value the difference image binaryzation which obtains the symmetrical difference. Then the rough position of the moving object is decided by using morphological filter for the result that binary image intersect. At the same time, edge detection is carried for the middle frame. For getting the edge of the moving object, the＂ and＂ operation is done between the results of rough position and the edge detection. At last, the moving object is obtained through region filling and so on. The result shows that the detection algorithm can detect object accurately and quickly.