camshift目标识别VC++6.0实现

 转载自:http://hi.baidu.com/hfuthxr/blog/item/612fd5da19bd775894ee37a6.html

作者:观澜阁

目标识别(CamShift)

2010年06月03日 星期四 上午 11:10


#include "stdafx.h"
#include "cv.h"
#include "highgui.h"
#include <stdio.h>
#include <ctype.h>

IplImage *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;
CvConnectedComp track_comp;
int hdims = 16;
float hranges_arr[] = {0,180};
float* hranges = hranges_arr;
int vmin = 20, vmax = 256, smin = 90;

CvScalar hsv2rgb( float hue );
void CaptureObject(CvCapture* capture);

void loadTemplateImage()
{
          IplImage *tempimage = cvLoadImage("F://test//test.jpg",1);// target sample picture
          cvCvtColor( tempimage, hsv, CV_BGR2HSV );
          int _vmin = vmin, _vmax = vmax;
          cvInRangeS( hsv, cvScalar(0,smin,MIN(_vmin,_vmax),0),cvScalar(180,256,MAX(_vmin,_vmax),0), mask );
          cvSplit( hsv, hue, 0, 0, 0 );
          selection.x = 1;
          selection.y = 1;
          selection.width = 320-1;
          selection.height= 240-1;
          cvSetImageROI( hue, selection );
          cvSetImageROI( mask, selection );
          cvCalcHist( &hue, hist, 0, mask );
          float max_val = 0.f;  
          cvGetMinMaxHistValue( hist, 0, &max_val, 0, 0 );
          cvConvertScale( hist->bins, hist->bins, max_val ? 255. / max_val : 0., 0 );
          cvResetImageROI( hue );
          cvResetImageROI( mask );
          track_window = selection;
          track_object = 1;
          cvZero( histimg );
          int bin_w = histimg->width / hdims;
          for(int i = 0; i < hdims; i++ )
          {
             int val = cvRound( cvGetReal1D(hist->bins,i)*histimg->height/255 );
             CvScalar color = hsv2rgb(i*180.f/hdims);      
             cvRectangle( histimg, cvPoint(i*bin_w,histimg->height),cvPoint((i+1)*bin_w,histimg->height -           val),color, -1, 8, 0 );
          }
          cvReleaseImage(&tempimage);
          }

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 )
              {
             char d[10];
              itoa(select_object,d,10);
             printf("select object %s   ",d);
              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;
             char a[10];
             char b[10];
             char c[10];
             char e[10];
             itoa(selection.x,a,10);
             itoa(selection.y,b,10);
             itoa(selection.width,c,10);
             itoa(selection.height,e,10);
             printf("selection x: %s,y:%s,width:%s,height:%s   ",a,b,c,e);
              }
              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;
              }
          }
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);
          }
int main( int argc, char** argv )
{
             CvCapture* capture = 0;
             capture = cvCaptureFromCAM(0);
             cvNamedWindow( "TrackEngine", 0 );
             CaptureObject(capture);   
             cvReleaseCapture( &capture );
             cvDestroyWindow("TrackEngine");
              return 0;
}

void CaptureObject(CvCapture* capture)
{
             for(;;) 
             {
              IplImage* frame = 0;
              int c;
              frame = cvQueryFrame( capture ); 
              if( !frame )
               break;
              if( !image )
              {
    
               image = cvCreateImage( cvGetSize(frame), 8, 3 );
               image->origin = frame->origin;
               hsv = cvCreateImage( cvGetSize(frame), 8, 3 );
               hue = cvCreateImage( cvGetSize(frame), 8, 1 );
               mask = cvCreateImage( cvGetSize(frame), 8, 1 );
               backproject = cvCreateImage( cvGetSize(frame), 8, 1 );
               hist = cvCreateHist( 1, &hdims, CV_HIST_ARRAY, &hranges, 1 );
               histimg = cvCreateImage( cvSize(320,200), 8, 3 );
               cvZero( histimg );
               loadTemplateImage();   
              }
              cvCopy( frame, image, 0 );   
              cvCvtColor( image, hsv, CV_BGR2HSV );
              if( track_object )
              {
               int _vmin = vmin, _vmax = vmax;
               cvInRangeS( hsv, cvScalar(0,smin,MIN(_vmin,_vmax),0),cvScalar(180,256,MAX(_vmin,_vmax),0), mask );
               cvSplit( hsv, hue, 0, 0, 0 );
               cvCalcBackProject( &hue, backproject, hist );
               cvAnd( backproject, mask, backproject, 0 );
               cvCamShift( backproject, track_window,cvTermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ),&track_comp, &track_box );
               track_window = track_comp.rect;
               if( backproject_mode )
                cvCvtColor( backproject, image, CV_GRAY2BGR );
               if( image->origin )
                track_box.angle = -track_box.angle;
               cvEllipseBox(image, track_box, CV_RGB(255,0,0), 3, CV_AA, 0 ); 
              }
              if( select_object && selection.width> 0 && selection.height > 0 )
              {
               cvSetImageROI( image, selection );
               cvXorS( image, cvScalarAll(255), image, 0 );
               cvResetImageROI( image );
              }
              cvShowImage( "TrackEngine", image );
              c = cvWaitKey(10);
             }
}
#ifdef _EiC
main(1,"TrackEngine.c");
#endif

 

//此代码在vc++6.0 下编译通过

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