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Moving object detection
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Moving object detection can be realized simply. Frame difference method [18] is also called time difference method. It detects moving objects by comparing the gray values of the pixels corresponding to the current frame and adjacent frames in the video sequence image, and then finds the difference, In video sequence images, there is continuity between adjacent images. When there is a moving object in the video image, due to the motion of the moving object, the gray value difference of pixels between adjacent images will be larger. On the contrary, when there is no moving object in the video image, the gray value difference of pixels between adjacent images will be smaller. The frame difference method takes advantage of this feature of video image It is the simplest method of moving object detection. The frame difference method is to use two adjacent frames to do the difference operation, and then do the binary processing, so as to detect the moving target.
tang286084403 0 0
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Moving target detection and multi target tracking
5.0
You only need to import the video to replace the original video, running can achieve target detection and tracking, but also need to configure their own environment, I use opencv3.0.0 and visual studio 2013 environment to run, run slightly mobilize the scroll bar.
tang286084403 0 0
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