opencv/samples/cpp/tutorial_code/video/meanshift/camshift.cpp

87 lines
2.5 KiB
C++

#include <iostream>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/video.hpp>
using namespace cv;
using namespace std;
int main(int argc, char **argv)
{
const string about =
"This sample demonstrates the camshift algorithm.\n"
"The example file can be downloaded from:\n"
" https://www.bogotobogo.com/python/OpenCV_Python/images/mean_shift_tracking/slow_traffic_small.mp4";
const string keys =
"{ h help | | print this help message }"
"{ @image |<none>| path to image file }";
CommandLineParser parser(argc, argv, keys);
parser.about(about);
if (parser.has("help"))
{
parser.printMessage();
return 0;
}
string filename = parser.get<string>("@image");
if (!parser.check())
{
parser.printErrors();
return 0;
}
VideoCapture capture(filename);
if (!capture.isOpened()){
//error in opening the video input
cerr << "Unable to open file!" << endl;
return 0;
}
Mat frame, roi, hsv_roi, mask;
// take first frame of the video
capture >> frame;
// setup initial location of window
Rect track_window(300, 200, 100, 50); // simply hardcoded the values
// set up the ROI for tracking
roi = frame(track_window);
cvtColor(roi, hsv_roi, COLOR_BGR2HSV);
inRange(hsv_roi, Scalar(0, 60, 32), Scalar(180, 255, 255), mask);
float range_[] = {0, 180};
const float* range[] = {range_};
Mat roi_hist;
int histSize[] = {180};
int channels[] = {0};
calcHist(&hsv_roi, 1, channels, mask, roi_hist, 1, histSize, range);
normalize(roi_hist, roi_hist, 0, 255, NORM_MINMAX);
// Setup the termination criteria, either 10 iteration or move by at least 1 pt
TermCriteria term_crit(TermCriteria::EPS | TermCriteria::COUNT, 10, 1);
while(true){
Mat hsv, dst;
capture >> frame;
if (frame.empty())
break;
cvtColor(frame, hsv, COLOR_BGR2HSV);
calcBackProject(&hsv, 1, channels, roi_hist, dst, range);
// apply camshift to get the new location
RotatedRect rot_rect = CamShift(dst, track_window, term_crit);
// Draw it on image
Point2f points[4];
rot_rect.points(points);
for (int i = 0; i < 4; i++)
line(frame, points[i], points[(i+1)%4], 255, 2);
imshow("img2", frame);
int keyboard = waitKey(30);
if (keyboard == 'q' || keyboard == 27)
break;
}
}