Description: 使用vc++和opencv编写的读取视频文件和运动检测的例子，其中包括自适应背景更新的方法。-use vc opencv prepared and read documents and video motion detection example, These include adaptive background updating methods. Platform: |
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Author:高 |
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Description: OpenCV在MFC的运动检测，包括在图片控件显示实时视频，及检测视频。-OpenCV in the MFC motion detection, including the Photo Control showed real-time video, and video detection. Platform: |
Size: 94208 |
Author:蔡辉 |
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Description: 基于OpenCv编写的运动检测，VC6平台，利用usb摄像头可以看效果。-OPEN prepared based Motion Detection, VC6 platform, using usb camera can see results. Platform: |
Size: 9216 |
Author:tuoge |
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Description: openCV运动检测程序,用于提取运动物体轮廓,并跟踪其运动路线.-openCV motion detection procedures for extracting the outline of moving objects and track their movement routes. Platform: |
Size: 2048 |
Author:fred |
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Description: 利用opencv做的视频图象中的运动检测类的文章,供大家参考-Opencv done using video images of the motion detection type of essays, for your reference Platform: |
Size: 184320 |
Author:姜金刚 |
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Description: 基于opencv的目标运动检测程序，可以检测摄像头拍摄图像中的运动物体-Based on the goal of motion detection opencv procedures, can detect camera images of moving objects Platform: |
Size: 1409024 |
Author:zb |
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Description: 基于vc++与opencv实现的视频图像Hu矩计算，可以作为运动检测的一个模块。运行时需要有一台usb摄像机才能正确执行。-Based on vc++ with opencv video images to achieve the calculation of Hu moments, can be used as a motion detection module. Run-time need to have a usb camera to the correct implementation. Platform: |
Size: 1054720 |
Author:William Fan |
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Description: VC6.0+opencv环境下运动检测的实例，使用了帧差法、GMM方法等，可以对比不同建模方法的效果-VC6.0+ opencv environment, motion detection example, using the frame difference method, GMM methods, you can compare the effect of different modeling methods Platform: |
Size: 309248 |
Author:王志 |
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Description: 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshift algorithm which is a robust statistical method of finding the mode (top) of a probability distribution. Both CAMSHIFT and Meanshift algorithms exist in the library. While it is a very fast and simple method of tracking, because CAMSHIFT tracks the center and size of the probability distribution of an object, it is only as good as the probability distribution that you produce for the object. Typically the probability distribution is derived from color via a histogram, although it could be produced from correlation, recognition scores or bolstered by frame differencing or motion detection schemes, or joint probabilities of different colors/motions etc.
In this application, we use only the most simplistic approach: A 1-D Hue histogram is sampled from the object in an HSV color space version of the image. To produce the Platform: |
Size: 15360 |
Author:黄文伟 |
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