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[OpenCV] 55593400chunlincheck_second1 DL : 0: 车辆检测 vc++ 内容简单，容易理解，背景未知，第一帧作为背景，并不断更新-Vehicle detection vc++ content is simple, easy to understand, background unknown, the first frame as a background, and constantly update
Date : 2026-01-23 Size : 63kb User : 李丹丹
[OpenCV] Improve-three-frame-diff DL : 0: 三帧差改进，对背景更新部分进行改进，同时结合三帧法优点。-Three poor improvements to the background update some improvements, combined with the three laws advantages.
Date : 2026-01-23 Size : 26.38mb User : 方林
[OpenCV] Patch DL : 0: 1利用SIFT关键点进行图像匹配 2在视频中，在一帧中检测关键点，之后利用canonical patch传递关键点，经过一定阈值的帧后，再次计算关键点，利用相邻帧之间关键点的差别很小，只更新关键点的位置，提高帧率。 3阈值自动确定-1 uses SIFT image matching key points 2 in the video, detecting critical points in one frame, after which it canonical patch transfer key, the frame after a certain threshold value, calculating the key points again, the use of the difference between adjacent frames is small critical point, only the update key position, to improve the frame rate. 3 threshold is determined automatically
Date : 2026-01-23 Size : 185kb User :
[OpenCV] Background-difference-method DL : 0: 背景差分法是采用图像序列中的当前帧和背景参考模型比较来检测运动物体的一种方法,其性能依赖于所使用的背景建模技术。背景差分法检测运动目标速度快，检测准确，易于实现，其关键是背景图像的获取。在实际应用中，静止背景是不易直接获得的，同时，由于背景图像的动态变化，需要通过视频序列的帧间信息来估计和恢复背景，即背景重建，所以要选择性的更新背景。-Background difference method is the use of images in the sequence of the current frame and the background reference model is a method to detect the movement of objects, its performance depends on background modeling technology used. Background subtraction method to detect moving objects fast, accurate detection, easy to implement, the key is to get the background image. In practice, the background is still difficult to obtain directly, while, due to the dynamic changes of the background image, through inter video sequence information to estimate the background and restore that background reconstruction, so to selectively update the background.
Date : 2026-01-23 Size : 167kb User : ZHENGJINGRANG