搜索资源列表
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opencv 下利用Camshift算法进行彩色目标跟踪,opencv using color Camshift target tracking algorithm
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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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camshift算法自动跟踪肤色区域
当前目录下放置肤色图片hand.jpg。
基于OpenCV函数库-automatic tracking algorithm camshift color region under the current directory to place color Photos hand.jpg. Based on the OpenCV library
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基于kalman滤波和人脸形态约束的人脸跟踪算法实现,可在快速人脸跟踪的同时很好的去除类肤色的干扰,注意是基于OpenCV函数库的程序。-Based on kalman filtering and face shape Face Tracking bound algorithm may face in the fast track at the same time remove the category of very good color interference, the attention
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opencv 显示如何利用camshift算法进行彩色目标的跟踪-opencv shows how to use color camshift algorithm target tracking
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用openCV实现,用Camshift算法实现彩色目标跟踪-openCV,color object tracking usingCamshift
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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 Meanshi
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在MFC中显示视频, 并且用opencv的camshift算法跟踪目标, 用的是颜色直方图.-MFC shown in the video, and the camshift algorithm using opencv tracking targets using a color histogram.
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Tracking color object base on opencv and using HSV color system
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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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opencv实现的camshift算法,利用颜色特征进行跟踪-camshift algorithm opencv achieved using color features for tracking
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程序描述:来自OpenCV安装目录下Samples文件夹中的官方示例程序-彩色目标跟踪操作。-Program descr iption: Samples folder the installation directory OpenCV official sample program- color target tracking operation.
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用运opencv中的函数,对机器视觉中彩色目标实时跟踪。-use opencv the function of the target color machine vision real-time tracking.
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opencv2.0/3.0,例程代码。包括图像显示,彩色目标跟踪,人脸识别等(Opencv2.0/3.0, routine code. Including image display, color target tracking, face recognition and so on)
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