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📄 stdafx.cpp

📁 利用Camshift算法进行彩色目标的跟踪.并且本程序在MFC下进行的编写的,有按钮,比较方便
💻 CPP
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// stdafx.cpp : source file that includes just the standard includes
//	CAMSHIFT_MFC.pch will be the pre-compiled header
//	stdafx.obj will contain the pre-compiled type information

#include "stdafx.h"
IplImage *image = 0; 
IplImage *hsv= 0; 
IplImage *hue= 0; 
IplImage *mask= 0; 
IplImage *backproject = 0; 
IplImage *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;
CvConnectedComp track_comp;
int hdims = 16;
float hranges_arr[] = {0, 180};
float* hranges = hranges_arr; 
int vmin = 10; 
int vmax = 256;
int smin = 30;

CvCapture* capture = 0;

extern void on_mouse( int event, int x, int y, int flags, void* param )
{
    if( !image )
        return;

    if( image->origin )
        y = image->height - y;

    if( select_object )
    {
        selection.x = MIN(x,origin.x);
        selection.y = MIN(y,origin.y);
        selection.width = selection.x + CV_IABS(x - origin.x);
        selection.height = selection.y + CV_IABS(y - origin.y);
        
        selection.x = MAX( selection.x, 0 );
        selection.y = MAX( selection.y, 0 );
        selection.width = MIN( selection.width, image->width );
        selection.height = MIN( selection.height, image->height );
        selection.width -= selection.x;
        selection.height -= selection.y;
    }

    switch( event )
    {
    case CV_EVENT_LBUTTONDOWN:
        origin = cvPoint(x,y);
        selection = cvRect(x,y,0,0);
        select_object = 1;
        break;
    case CV_EVENT_LBUTTONUP:
        select_object = 0;
        if( selection.width > 0 && selection.height > 0 )
            track_object = -1;
        break;
    }
}

extern CvScalar hsv2rgb( float hue )
{
    int rgb[3], p, sector;
    static const int sector_data[][3]=
        {{0,2,1}, {1,2,0}, {1,0,2}, {2,0,1}, {2,1,0}, {0,1,2}};
    hue *= 0.033333333333333333333333333333333f;
    sector = cvFloor(hue);
    p = cvRound(255*(hue - sector));
    p ^= sector & 1 ? 255 : 0;

    rgb[sector_data[sector][0]] = 255;
    rgb[sector_data[sector][1]] = 0;
    rgb[sector_data[sector][2]] = p;

    return cvScalar(rgb[2], rgb[1], rgb[0],0);
}

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