recogobjt.h

学习meanshift跟踪算法的好程序

/* RecogObjt.h
 * -----------
 * VC version of the matlab
 * implementation Track.
 */

#include "defs.h"
#include "utils.h"

#define L	15	//L、H为列、行最大位移
#define H	15
#define R	7	//R取奇数，为正方形框的边长，c中每点的值用以该点为中心所画框中所有点的平均值代替得到mc
#define C	7//20	//将mc以边长为C的小方格进行分割
#define G	30	//50;	G为一域值，当每个小方格中的最大值大于该域值，则记下该方格，所有方格的集合即包含了运动物体
#define T	40	//梯度域值
#define MAX_POINT	200	//max number of salient points
#define MAX_OBJECTS 10	// maximum number of objects to be tracked
#define MAX_BLOCK	100	//max number of blocks composing one object
#define REFERENCE_FRAME	2//14	//reference frame number to frame 0

/***************************** Function Prototypes ***************************/

int RecogObjt(IplImage* frame_a, IplImage* frame_b, CvRect rect[]);

/************* Usage **************
{
	IplImage *frame, *frame_a, *frame_b;
	CvRect regions[MAX_OBJECTS];	//rect containing object in frame, to return
	CvSize size;

	i = 0;
	while( frame = cvQueryFrame( video ) )
	{
		if(i==0)
		{
			size.height=frame->height;
			size.width=frame->width;
			frame_a=cvCreateImage(size, 8, 1);
			cvCvtColor(frame, frame_a, CV_BGR2GRAY);
		}
		if(i==14)
		{
			frame_b=cvCreateImage(size, 8, 1);
			cvCvtColor(frame, frame_b, CV_BGR2GRAY);
			break;
		}
		i++;
	}
	DisplayImage("frame_a", frame_a);
	DisplayImage("frame_b", frame_b);

//	frame_a = cvLoadImage("a.bmp" , 0);
//	frame_b = cvLoadImage("b.bmp" , 0);

	n=RecogObjt(frame_a, frame_b, regions);

	cvReleaseImage(&frame_a);
	cvReleaseImage(&frame_b);
}
*/