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基于OpenCV的简易目标检测跟踪程序，能够实现对每帧视频的连续编号截图，可以实现键盘对视频播放的控制，能对每一视频帧生成包含运动目标区域的前景图像，采用某种策略实现对运动目标的跟踪，并用矩形框+编号将运动目标标出。-A simple target detection program base on OpenCV , which can numbered consecutively for each frame of video screenshots, keyboard control the
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对视频进行运动检测，基于相邻两帧帧间差分。
在相邻两帧（也可以为多帧）间计算逐象素的灰度差，并通过设置阈值来确定对应运动前景的象素，进而得到运动前景区域。-On a video motion detection, based on the two adjacent interframe difference. The gray-scale difference between the two adjacent frames (may be a multi-frame) calculating
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通过建立高斯混合模型用于运动目标检测，将视频帧检测为前景和背景-Target detection through the establishment of Gaussian mixture model for motion video frame detection for foreground and background
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基于高斯的前景检测，用于从背景中将前景物体分离出来。-Based on Gaussian prospects detection, for foreground objects from the background will be separated.
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混合高斯模型在运动检测中的应用，检测视频中的运动物体，做出其背景图像和前景图像-Gaussian mixture model in motion detection to detect moving objects in the video to make the background image and the foreground image
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高斯混合滤波建模，基于opencv，用于背景建模，前景检测-Gaussian mixture filter modeling, based on opencv, for background modeling, foreground detection
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前景检测，输入一个视频，经过若干帧的训练，可以检测出之后的帧的前景和背景。-Background Generation And Foreground Detection。
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Opencv中的一种运动检测方法，运用背景建模，可以快速识别运动物体在前景中显示出来-Opencv in one motion detection method using background modeling, you can quickly identify the moving object is displayed in the foreground
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使用opencv实现vibe算法，用于视频前景检测(Opencv implementation using vibe algorithm for video foreground detection)
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