This paper proposes and implements a moving object segmentation method, which based on inter-frame difference.
为此，文章提出并实现了一种基于互帧差的视频运动对象分割方法。
In the process of object detection, the inter-frame difference object detection method and symmetrical inter-frame difference object detection method based on gray were used respectively.
在目标检测过程中，分别利用单目视觉下基于灰度的连续帧间差分法和对称差分法实现了目标检测。
Firstly, a background processing algorithm based on inter-frame difference and background modeling is proposed, which has achieved effects of background suppression and target enhancement.
首先，针对复杂多变的背景，提出了基于帧间差分和背景建模的背景处理算法，达到了抑制背景、增强目标的效果。
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。
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。
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