我根据opencv的camshift demo改写了一下，分成几个头文件源文件，程序跟踪不了，能帮忙看看哪里出错了吗

[u010947001]

main.cpp

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include "track_utils.h"
#include "camshift.h"


using namespace cv;
using namespace std;


//Global variables
Rect box;
bool drawing_box = false;
bool gotBB = false;
bool isfirst = true;

//draw box
void mouseHandler(int event, int x, int y, int flags, void *param){
	switch (event){
	case CV_EVENT_MOUSEMOVE:
		if (drawing_box){
			box.width = x - box.x;
			box.height = y - box.y;
		}
		break;
	case CV_EVENT_LBUTTONDOWN:
		drawing_box = true;
		box = cv::Rect(x, y, 0, 0);
		break;
	case CV_EVENT_LBUTTONUP:
		drawing_box = false;
		if (box.width < 0){
			box.x += box.width;
			box.width *= -1;
		}
		if (box.height < 0){
			box.y += box.height;
			box.height *= -1;
		}
		gotBB = true;
		break;
	}
}




int main() {

	VideoCapture capture;
	capture.open(0);
	// check if video successfully opened
	if (!capture.isOpened()) {
		cout << "couldn't open video file" << endl;
		return 1;
	}


	
	Mat frame, processFrame, hsv, hue, hist, mask; 
	int vmin = 10, vmax = 256, smin = 30;
	RotatedRect trackbox;
	camshift camTracker;
	
	
	namedWindow("tracking");
	createTrackbar("Vmin", "tracking", &vmin, 256, 0);//createTrackbar函数的功能是在对应的窗口创建滑动条，滑动条Vmin,vmin表示滑动条的值，最大为256
	createTrackbar("Vmax", "tracking", &vmax, 256, 0);//最后一个参数为0代表没有调用滑动拖动的响应函数
	createTrackbar("Smin", "tracking", &smin, 256, 0);//vmin,vmax,smin初始值分别为10,256,30

	setMouseCallback("tracking", mouseHandler, NULL); //call mouse
	
	
	capture >> frame;

	while (!gotBB)
	{
		
		imshow("tracking", frame);
		
		if (waitKey(30) == 'q')
			return 1;
	}
	setMouseCallback("tracking", NULL, NULL);

	while (true)
	{
		if (frame.empty())
			return -1;
		frame.copyTo(processFrame);
		cvtColor(processFrame, hsv, CV_BGR2HSV);

		inRange(hsv, Scalar(0, smin, MIN(vmin, vmax)),
			Scalar(180, 256, MAX(vmin, vmax)), mask);
		int ch[] = { 0, 0 };
		hue.create(hsv.size(), hsv.depth());
		mixChannels(&hsv, 1, &hue, 1, ch, 1);//将hsv第一个通道(也就是色调)的数复制到hue中，0索引数组
		if (isfirst) {
			
			hist = camTracker.getHistogram(hue, mask, box);
			isfirst = false;
		}
		capture >> frame;
		
		
		
		
		
		trackbox = camTracker.process(hue, hist, mask, box);
		// draw ellipse

		drawBox(processFrame, trackbox);
		
		imshow("tracking", processFrame);


		if (waitKey(30) >= 0)
			break;
	}

	waitKey();



	return 0;
}

camshift.h

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

using namespace cv;

class camshift{

private:

	
	int hsize = 16;
	float hranges[2];//hranges在后面的计算直方图函数中要用到
	const float* phranges = hranges;
	Mat backproj;

public:

	
	camshift(){

		hranges[0] = 0.0;
		hranges[1] = 180.0;
		
	};
	
	Mat getHistogram(Mat &hue, Mat &mask, Rect selection);
	RotatedRect process(Mat &hue, Mat &hist, Mat &mask, Rect selection);
	
};

camshift.cpp

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/video/tracking.hpp>
#include "camshift.h"
#include <iostream>


using namespace cv;
using namespace std;



Mat camshift::getHistogram(Mat &hue, Mat &mask, Rect selection) {

	Mat hist;
	Mat roi(hue, selection), maskroi(mask, selection);
	calcHist(&roi, 1, 0, maskroi, hist, 1, &hsize, &phranges);//将roi的0通道计算直方图并通过mask放入hist中，hsize为每一维直方图的大小
	normalize(hist, hist, 0, 255, CV_MINMAX);//将hist矩阵进行数组范围归一化，都归一化到0~255
	return hist;
}


RotatedRect camshift::process(Mat &hue, Mat &hist, Mat &mask, Rect selection) {

	RotatedRect trackbox;	
	calcBackProject(&hue, 1, 0, hist, backproj, &phranges);//计算直方图的反向投影，计算hue图像0通道直方图hist的反向投影，并让入backproj中
	backproj &= mask;
	trackbox = CamShift(backproj, selection, TermCriteria(CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1));
	return trackbox;
}

track_utils.h

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

#pragma once

void drawBox(cv::Mat& image, cv::RotatedRect box, cv::Scalar color = cv::Scalar(0, 0, 255), int thick = 3, int line_type = CV_AA);

track_utils.cpp

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include "track_utils.h"

using namespace cv;


void drawBox(Mat& image, RotatedRect box, Scalar color, int thick, int line_type){
	//rectangle(image, Point(box.x, box.y), Point(box.x + box.width, box.y + box.height), color, thick);
	ellipse(image, box, color, thick, line_type);//跟踪的时候以椭圆为代表目标
}

camshift demo地址：http://www.cnblogs.com/tornadomeet/archive/2012/03/15/2398769.html