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TrackIT是一款开放式的机器视觉开发平台,目前集成了从相机输入、色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、Blob检测、相机标定、Kalman滤波器、光流跟踪器、最近邻域跟踪、数学形态学方法、机器学习算法等近100个组件,并在不断添加更新中,采用开源OpenCV、WxWidgets、CMU139等标准工具,使用XML动态解析界面,所有参数在界面上直接调整,同时可立即看到调整效果,并可动态加载组件,可用于一般科学研究和机器视觉系统开发。运行时需要.net框架支持。
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基于opencv的脸部识别程序。原理:脸部肤色。作者:刘嘉焜-face tracking based on opencv library. Algorithm: color based tracking. by Jiakun Liu
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一个利用肤色来检测和跟踪人脸的例子。包括一个开源的函数库。和opencv相当。-A example for face detection and tracking using color Histogram
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使用C++配合OpenCV追蹤滑鼠選取範圍內的顏色-Use C++ with OpenCV tracking the mouse to select the color range
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不错的跟踪算法~基于颜色信息进行跟踪,基于opencv环境~-~ Good tracking algorithm to track based on color information, based on the environment ~ opencv
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ray-tracing光线跟踪算法的实现。包括了光线求交、追踪,物体材质、色彩的设置,球面和墙面的镜面反射效果。场景包括地板,三个镜面反射的球体,一个漫反射球体和一面镜面反射的墙壁。工程运行于VS2008环境,需要OpenGL支持。Release目下exe文件可以直接双击运行查看结果(需要glut32.dll动态链接库的支持)。-ray-tracing ray tracing algorithm. Includes light intersection, tracking, object mat
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opencv 提供了使用基于颜色的跟踪算法camshift, 很好的算法,可是它是个半自动的算法,它需要用户在跟踪界面设定跟踪的目标。怎么预先设定目标再来跟踪呢? 本人偷了个懒,加入了用一张图片来设定跟踪的目标,在启动中加载图片,生成跟踪需要的histogram。这样实现了自动化的跟踪吧。-opencv using color-based tracking algorithm camshift provide a good algorithm, but it is a semi-automati
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一个基于openNI读取kinect深度和彩色图像的例子,采用openCV进行显示,进行手势识别然后跟踪手。-An example reading the kinect depth and color images based on openNI , using openCV to display, do gesture recognition and hand tracking.
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color object tracking opencv camshift
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运动目标自动跟踪检测,选择一块区域,根据一些色差值等,检测相关点-Moving target tracking and detection automatically select an area, according to some color difference detection point
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结合kalman滤波的meanshift跟踪算法,meanshift算法是一种经典的均值漂移跟踪算法,采用颜色直方图作为跟踪特征,具有很高的稳定性和鲁棒性,kalman滤波是一种线性滤波预测算法。在meanshift算法中引入kalman滤波,可以提高算法的稳定性,同时提高算法执行效率。代码中除了avi格式视频读取采用opencv库函数外,核心算法均为纯C++实现,注释详细,很容易理解,同时具有很高的参考价值。 -Meanshift kalman filtering combined track
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以c++和opencv为工具,通过摄像头捕捉到肤色区域,并跟踪,实现手势识别-In c++ and opencv as a tool, through the camera to capture color region and tracking, gesture recognition
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Camshift With Kalman in visual studio, opencv need, working with UI, tracking and color track. Fast
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如果要跟踪的物体颜色和背景色有较大区别,可用基于颜色的跟踪 如CAMSHIFT 鲁棒性都是较好的。 此源码是一个opencv自带的CamShift算法使用工程实例(有非常详细的注释)。该实例的作用是跟踪摄像头中目标物体,目标物体初始位置用鼠标指出,其跟踪窗口大小和方向随着目标物体的变化而变化。-If you want to track the object color and background color is quite different, color-based tracking is
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基于meanshift的单目标跟踪算法实现
说明:
1. RGB颜色空间刨分,采用16*16*16的直方图
2. 目标模型和候选模型的概率密度计算公式参照上文
3. opencv版本运行:按P停止,截取目标,再按P,进行单目标跟踪-Meanshift based single target tracking algorithm Descr iption: 1. RGB color space plane points, using a histogram 16* 16* 16 2
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通过opencv实现彩色目标追踪,实现物体图像识别-Opencv track to achieve goals through color, to achieve the object image recognition
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opencv下实现基于均值漂移的追踪技术,运行程序是,用鼠标框选择一个有颜色的物体,可以对它进行追踪操作-Opencv under the mean shift based tracking technology, running the program is to use the mouse to a color object, you can track the operation
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本程序展示了使用opencv实现彩色目标跟踪.-Use opencv to achieve color target tracking.
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Hand Detection Using Color Recognition Object Tracking and Gesture Recognition
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This is a Python application that uses the OpenCV library (version 2) to track the movement of balls during a video. It tracks the balls with a combination of color filtering
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