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blobtrack
- 一个很好的二值轮廓跟踪程序，跟踪效果很好利用了MHI-Second, the value of a good outline of the tracking process, tracking the effect of a good use of the MHI
OpenCV_forward_backwrd_MHI
- Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法，本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。 本程序基于OpenCV。-Forwar
Moving-camera-based-on-SIF-eature-matching-MHI
- 动摄像机下基于SIFT特征匹配和MHI的目标检测Moving camera based on SIFT feature matching and the next target detection MHI-Moving camera based on SIFT feature matching and the next target detection MHI
PeopleTrack
- 两种方法，MHI（历时运动图像）和卡尔曼滤波实现的运动物体跟踪程序。采用VC6+OpenCV1.0-Two methods, MHI (last moving image) and the Kalman filter to achieve the moving object tracking program. Using VC6+ OpenCV1.0
MHI
- 运动历史图像处理，可以实现运动方向和速度的计算-Motion history image processing can be achieved calculate the direction and speed of movement
MHI
- MHI（运动历史图），通过计算时间段内同一位置的像素变化，将目标运动情况以图像亮度的形式表现出来。在vs2005+OpenCV1.0环境下运行。-MHI (motion history diagram), by calculating the change in the same period of the pixel position, the movement of the target in the form of image brightness show. Running under
mhi
- 运动历史图像的实现，并能将得到的图像逐帧保存。-The motion history image is realized and the resulting image can be saved frame by frame.