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深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and
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一个基于Opencv与VC环境的视频采集图像滤波与角点检测运动跟踪的vc程序.可以实现opencv图像滤波-A VC environment based Opencv and video capture image filtering and corner detection vc motion tracking program. Opencv image filtering can be achieved
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基于Opencv与VC环境的视频采集图像滤波与角点检测运动跟踪-VC environment based Opencv video capture and image filtering and corner detection motion tracking
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采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行-Human detection and tracking in high density
crowds is an unsolved problem. Standard preprocessing techniques such
as background modeling fail when most of the
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一个不错的基于Opencv与VC环境的视频采集图像滤波与角点检测运动跟踪的vc程序-A good environment with VC Opencv based video capture image filtering and corner detection motion tracking vc procedures can be achieved opencv image filtering 2Copencv face corner detection 2Copencv motion
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基于OpenCV的简易目标检测跟踪程序，能够实现对每帧视频的连续编号截图，可以实现键盘对视频播放的控制，能对每一视频帧生成包含运动目标区域的前景图像，采用某种策略实现对运动目标的跟踪，并用矩形框+编号将运动目标标出。-A simple target detection program base on OpenCV , which can numbered consecutively for each frame of video screenshots, keyboard control the
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本程序源码是一种基于Visual C++6.0 ＋ opencv，根据人体运动识别别播放音乐。设计到的技术有计算机视觉，canny边缘检测，人体分割等。-The program source code based Visual C++6.0+ opencv, according to the human motion recognition do not play music. The technical design to computer vision, canny edge detecti
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运动模板检测，基于opencv平台，库函数cvSegmentMotion将整个运动分割为独立的运动部分-Motion template detection platform based OPENCV, library functions cvSegmentMotion to the whole movement is divided into separate moving parts
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展示opencv中运动跟踪框架的使用，如前景检测模块、新团块检测模块等-Show the usage in motion tracking framework in opencv, such as foreground detection module, a new mass detection module
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opencv，c++，数字图像处理，运动车辆检测与跟踪系统-opencv, c++, digital image processing, motion vehicle detection and tracking system
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A program using the OpenCV library which takes a video file and preforms vehicle and pedestrian motion tracking and detection outlining all the moving objects in the video.
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使用VS2010+openCV。本文是基于颜色模型和运动模型对含有烟雾的视频进行烟雾检测的。首先利用RGB颜色模型的方法，检测出烟雾区域以及疑似烟雾区域；接着用背景相减的方法，检测出运动的物体；最后结合两种方法，只检测出运
动的烟雾区域，提取烟雾最大轮廓，绘制矩形框以示意。通过设置R、G、B的参数及阈值，可以得到满意的效果。
-Use VS2010+openCV. This paper is based on the color model and motion model for sm
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Car tracking using Haar cascade
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