The background subtraction and frame-difference method are used in object detection.
背景差法和帧间差法是两种比较常用的目标检测方法。
参考来源 - 直方图在视频监控系统中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
Based on adjacent frame difference, we proposed a improved algorithm. An experiment result was given to show this method is efficient.
在介绍相邻帧差分算法的基本原理的基础上，提出了一个改进的相邻帧差分算法，并给出了实验结果。
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