【OpenCV】实现行人跟踪

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本文链接： https://blog.csdn.net/iefenghao/article/details/91134799

实现一个行人跟踪程序

程序在vs2017+OpenCV3.4.1中测试通过

摄像头测试

请用自己的摄像头测试

视频测试

  

       采用了Camshift方法，在单人检测中效果较好，在真实场景中，效果较差，会跟踪到其他人身上。

程序

#include "pch.h"
#include <iostream>
#include <opencv2/core/utility.hpp>
#include "opencv2/video/tracking.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include <iostream>
#include <ctype.h>

using namespace cv;
using namespace std;

Mat image;

bool backprojMode = false;
bool selectObject = false;
int trackObject = 0;
bool showHist = true;
Point origin;
Rect selection;
int vmin = 10, vmax = 256, smin = 30;

// User draws box around object to track. This triggers CAMShift to start tracking
static void onMouse(int event, int x, int y, int, void*)
{
	if (selectObject)
	{
		selection.x = MIN(x, origin.x);
		selection.y = MIN(y, origin.y);
		selection.width = std::abs(x - origin.x);
		selection.height = std::abs(y - origin.y);

		selection &= Rect(0, 0, image.cols, image.rows);
	}

	switch (event)
	{
	case EVENT_LBUTTONDOWN:
		origin = Point(x, y);
		selection = Rect(x, y, 0, 0);
		selectObject = true;
		break;
	case EVENT_LBUTTONUP:
		selectObject = false;
		if (selection.width > 0 && selection.height > 0)
			trackObject = -1;   // Set up CAMShift properties in main() loop
		break;
	}
}

string hot_keys =
"\n\nHot keys: \n"
"\tESC - quit the program\n"
"\tc - stop the tracking\n"
"\tb - switch to/from backprojection view\n"
"\th - show/hide object histogram\n"
"\tp - pause video\n"
"To initialize tracking, select the object with mouse\n";

static void help()
{
	cout << "\nThis is a demo that shows mean-shift based tracking\n"
		"You select a color objects such as your face and it tracks it.\n"
		"This reads from video camera (0 by default, or the camera number the user enters\n"
		"Usage: \n"
		"   ./camshiftdemo [camera number]\n";
	cout << hot_keys;
}

const char* keys =
{
	"{help h | | show help message}{@camera_number| 0 | camera number}"
};

int main(int argc, const char** argv)
{
	VideoCapture cap;
	Rect trackWindow;
	int hsize = 16;
	float hranges[] = { 0,180 };
	const float* phranges = hranges;
	CommandLineParser parser(argc, argv, keys);
	if (parser.has("help"))
	{
		help();
		return 0;
	}
	int camNum = parser.get<int>(0);
	cap.open("srcVideo.mp4");
	//cap.open(0);
	if (!cap.isOpened())
	{
		help();
		cout << "***Could not initialize capturing...***\n";
		cout << "Current parameter's value: \n";
		parser.printMessage();
		return -1;
	}
	cout << hot_keys;
	namedWindow("Histogram 1210", 0);
	namedWindow("CamShift 1210", 0);
	setMouseCallback("CamShift 1210", onMouse, 0);
	createTrackbar("Vmin", "CamShift 1210", &vmin, 256, 0);
	createTrackbar("Vmax", "CamShift 1210", &vmax, 256, 0);
	createTrackbar("Smin", "CamShift 1210", &smin, 256, 0);

	Mat frame, hsv, hue, mask, hist, histimg = Mat::zeros(200, 320, CV_8UC3), backproj;
	bool paused = false;

	for (;;)
	{
		if (!paused)
		{
			cap >> frame;
			if (frame.empty())
				break;
		}

		frame.copyTo(image);

		if (!paused)
		{
			cvtColor(image, hsv, COLOR_BGR2HSV);

			if (trackObject)
			{
				int _vmin = vmin, _vmax = vmax;

				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);

				if (trackObject < 0)
				{
					// Object has been selected by user, set up CAMShift search properties once
					Mat roi(hue, selection), maskroi(mask, selection);
					calcHist(&roi, 1, 0, maskroi, hist, 1, &hsize, &phranges);
					normalize(hist, hist, 0, 255, NORM_MINMAX);

					trackWindow = selection;
					trackObject = 1; // Don't set up again, unless user selects new ROI

					histimg = Scalar::all(0);
					int binW = histimg.cols / hsize;
					Mat buf(1, hsize, CV_8UC3);
					for (int i = 0; i < hsize; i++)
						buf.at<Vec3b>(i) = Vec3b(saturate_cast<uchar>(i*180. / hsize), 255, 255);
					cvtColor(buf, buf, COLOR_HSV2BGR);

					for (int i = 0; i < hsize; i++)
					{
						int val = saturate_cast<int>(hist.at<float>(i)*histimg.rows / 255);
						rectangle(histimg, Point(i*binW, histimg.rows),
							Point((i + 1)*binW, histimg.rows - val),
							Scalar(buf.at<Vec3b>(i)), -1, 8);
					}
				}

				// Perform CAMShift
				calcBackProject(&hue, 1, 0, hist, backproj, &phranges);
				backproj &= mask;
				RotatedRect trackBox = CamShift(backproj, trackWindow,
					TermCriteria(TermCriteria::EPS | TermCriteria::COUNT, 10, 1));
				if (trackWindow.area() <= 1)
				{
					int cols = backproj.cols, rows = backproj.rows, r = (MIN(cols, rows) + 5) / 6;
					trackWindow = Rect(trackWindow.x - r, trackWindow.y - r,
						trackWindow.x + r, trackWindow.y + r) &
						Rect(0, 0, cols, rows);
				}

				if (backprojMode)
					cvtColor(backproj, image, COLOR_GRAY2BGR);
				ellipse(image, trackBox, Scalar(0, 0, 255), 3, LINE_AA);
			}
		}
		else if (trackObject < 0)
			paused = false;

		if (selectObject && selection.width > 0 && selection.height > 0)
		{
			Mat roi(image, selection);
			bitwise_not(roi, roi);
		}

		imshow("CamShift 1210", image);
		imshow("Histogram 1210", histimg);

		char c = (char)waitKey(10);
		if (c == 27)
			break;
		switch (c)
		{
		case 'b':
			backprojMode = !backprojMode;
			break;
		case 'c':
			trackObject = 0;
			histimg = Scalar::all(0);
			break;
		case 'h':
			showHist = !showHist;
			if (!showHist)
				destroyWindow("Histogram 1210");
			else
				namedWindow("Histogram 1210", 1);
			break;
		case 'p':
			paused = !paused;
			break;
		default:
			;
		}
		waitKey(50); //延时50ms
	}
	cv::waitKey(0);
	return 0;
}