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: |
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Author:王志 |
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Description: There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video frame with one from the previous frames or with something that we ll call background. In this article, I ll try to describe some of the most common approaches. Platform: |
Size: 174080 |
Author:p2casso |
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Description: 移动侦测，基于CMGU.CV做的，可以显示摄像头里面运动的物体并做标定-Motion detection, based on CMGU.CV do, the camera can be displayed inside the movement of objects and do calibration Platform: |
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Author:张庆 |
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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: |
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Author:黄文伟 |
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Description: This a 2-week project which has been submitted for my "Imaging and special effect" Module.
It is the implementation of a Motion Detection program for Webcams.
This application can successfully sense the motion in the real time video stream captured from web-cameras.
The C# implementation of filters is getting advantage of AForge.NET framework, provided by group of programmers and developers as an Open Source C# library that enables me to capture video stream from various external sources and manipulate images efficiently-This is a 2-week project which has been submitted for my "Imaging and special effect" Module.
It is the implementation of a Motion Detection program for Webcams.
This application can successfully sense the motion in the real time video stream captured from web-cameras.
The C# implementation of filters is getting advantage of AForge.NET framework, provided by group of programmers and developers as an Open Source C# library that enables me to capture video stream from various external sources and manipulate images efficiently Platform: |
Size: 760832 |
Author:Ali |
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Description: 用Opencv实现的一个运动检测的程序。通过摄像头捕捉，把捕捉到的图像分为前景和背景，从而检测出运动图像。-Achieved with Opencv a motion detection process. Captured by the camera, the captured image are separated into foreground and background, to detect the moving image. Platform: |
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Author:蓝天白雪 |
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Description: 别人编写的运动检测gui，能够检测运动目标以及测速，给大家分享一下。-Written by someone else' s motion detection gui, can detect moving targets and guns, to share with you. Platform: |
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Author:linwei |
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Description: 运动目标检测是整个视频监控系统的最底层，是目标跟踪、目标分类、目
为理解等的基础，因此运动目标检测是视频序列图像处理的关键环节。根
列图像的背景情况可以将运动目标检测划分为静态背景下运动目标检测
态背景下运动目标检测，本章主要研究静态背景下的运动目标检测算法。
-Moving target detection is the lowest level of video surveillance systems, is the target tracking, target classification, currently the basis for understanding, etc., so video motion detection is a key link in image sequence processing. Root out the background of the image motion detection can be divided into static state of the moving target detection of moving object detection, this chapter of the static background of moving target detection algorithm. Platform: |
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Author:欢 |
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Description: 运动目标检测是整个视频监控系统的最底层，是目标跟踪、目标分类、
标行为理解等的基础，因此运动目标检测是视频序列图像处理的关键环节。
-Moving target detection is the video surveillance system, the bottom is the target tracking, target classification, and so on the basis of standard behavior understanding, so video motion detection is the key link in image sequence processing. Platform: |
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Author:欢 |
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Description: 图像识别在大楼安防中的应用例子，基于运动物体检测技术的摄像监控检测。-Image recognition applications in building security in the example of object detection based on motion detection technology for video surveillance. Platform: |
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Author:zhangdy |
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Description: 本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual object detection(video object detection), visual surveillance, motion detection, motion tracking, visual object tracking, video object tracking, etc. Platform: |
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Author:朱亮亮 |
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