Background subtraction and frame difference method are commonly used moving objects detection methods.
背景差法和帧间差法都是常用的运动目标检测方法。
The result shows this algorithm is better than frame difference method, background difference method and road mark method.
结果显示该算法明显优于帧差法、背景差法、路面标记法。
It combines organically the edge detection method and the improved frame difference method to effectively detect the moving and stagnant vehicles simultaneously.
将边缘检测法与改进帧差法进行有机结合，有效地实现了运动和静止车辆的同时检测。
According to continuity of gray-value of targets in inter-frame, the frame-difference method is proposed to detect the moving objects in this paper.
考虑到视频序列图像具有帧间连续性，本文通过帧间差分的方法检测运动车辆。
The paper introduces several methods for vision-surveillance using background subtraction, frame-difference method, symmetrical differencing and a method based on RGB image.
介绍了在视觉监控领域经常用到的几种运动人体检测算法，如背景减除法、帧差法、对称差分法、基于RGB图像的运动检测法。
The paper introduces several methods for vision-surveillance using background subtraction, frame-difference method, symmetrical differencing and a method based on RGB image.
介绍了在视觉监控领域经常用到的几种运动人体检测算法，如背景减除法、帧差法、对称差分法、基于RGB图像的运动检测法。
应用推荐