连续帧间差分与背景差分相融合的运动目标检测方法

Combined Continuous Frame Difference with Background Difference Method for Moving Object Detection

为了克服背景差分法和帧间差分法的不足,有效提高运动目标检测的准确性、实时性和检测效率,提出了一种将连续帧间差分法与背景差分法相结合的运动目标检测方法.首先通过连续帧间差分法获得连续帧差图像,然后分别通过线性的自适应滤波、非线性的中值滤波获得背景图像进行差分,之后再利用阈值分割技术实现运动目标的增强,从而有效解决背景差分法和帧间差分法中都可能出现的无法检测目标的现象.实验表明,该算法可以有效避免漏检、误检等情况,提高运动目标检测的效率和准确性.

In order to overcome the disadvantage of the background ditference method and me Irame difference method and improve the accuracy, real-time and detection efficiency for the detection of moving target, a method was presented that combines the continuous frame difference method with the background difference method. The proposed method firstly used continuous frame difference method to obtain continuous difference images. Then a linear adaptive filter or an nonlinear median filter was adopted to obtain the background image and get them subtraction. Finally a threshold segmentation technology was used to enhance the detected moving target. Experiment results demonstrate that the proposed algorithm can effectively avoids the phenomenon of the ＂missed＂ and ＂false alarms＂, etc. , and the detection efficiency and accuracy are improved greatly.