基于三帧差法和交叉熵阈值法的车辆检测

Vehicles Detection Based on Three-frame-difference Method and Cross-entropy Threshold Method

考虑运动车辆图像的时间相关性和空间相关性,采用三帧差分法与二维交叉熵阈值法相结合的方法对运动车辆进行检测。利用三帧差分法对视频图像进行运动车辆的检测,得到灰度图像的差分图像,使用二维交叉熵阈值法对差分图像进行二值化。实验结果证明,该方案能够检测出完整的运动车辆,具有良好的可靠性和鲁棒性,满足智能交通系统的要求。

By considering the temporal correlation and spatial correlation of the moving vehicles image, the method combining three-frame- difference method and two-dimensional cross-entropy threshold method is used to detect the moving vehicles. Three-frame-difference method is used to detect the moving vehicles in the video image, from which difference image of gray-scale image is obtained, and two-dimensional cross-entropy threshold method is combined to make binarization of difference image. Experimental results show that the scheme can detect complete moving vehicles, and has good reliability and robustness to meet the requirements of intelligent transportation systems.