运动目标跟踪与检测的源代码（CAMSHIFT 算法）.doc

运动目标跟踪与检测的源代码（CAMSHIFT 算法） 文章由 算法源码吧()收集采用 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（英文）：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 probability image to track, histogram back projection (we replace image pixels by their histogram hue value) is used.算法的详细情况，请看论文：/incoming/camshift.pdf关于OPENCV B4.0 库的使用方法以及相关问题，请查阅下面的相关文章：/display_topic_threads.asp?ForumID=11TopicID=3471运行文件下载：/product_tech/Demo_Download_files/camshiftdemo.exe该运行文件在VC6.0环境下编译通过，是一个 stand-alone 运行程序，不需要OPENCV的DLL库支持。在运行之前，请先连接好USB接口的摄像头。然后可以用鼠标选定欲跟踪目标。＝＝＝＝＝#ifdef _CH_#pragma package opencv#endif#ifndef _EiC#include cv.h#include highgui.h#include stdio.h#include ctype.h#endifIplImage *image = 0, *hsv = 0, *hue = 0, *mask = 0, *backproject = 0, *histimg = 0;CvHistogram *hist = 0;int backproject_mode = 0;int select_object = 0;int track_object = 0;int show_hist = 1; CvPoint origin;CvRect selection;CvRect track_window;CvBox2D track_box; // tracking 返回的区域 box，带角度CvConnectedComp track_comp;