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/*------------------------------------------------------------------------------------------*\
This file contains material supporting chapter 10 of the cookbook:
Computer Vision Programming using the OpenCV Library.
by Robert Laganiere, Packt Publishing, 2011.
This program is free software; permission is hereby granted to use, copy, modify,
and distribute this source code, or portions thereof, for any purpose, without fee,
subject to the restriction that the copyright notice may not be removed
or altered from any source or altered source distribution.
The software is released on an as-is basis and without any warranties of any kind.
In particular, the software is not guaranteed to be fault-tolerant or free from failure.
The author disclaims all warranties with regard to this software, any use,
and any consequent failure, is purely the responsibility of the user.
Copyright (C) 2010-2011 Robert Laganiere, www.laganiere.name
\*------------------------------------------------------------------------------------------*/
#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/features2d/features2d.hpp>
#include <opencv2/video/tracking.hpp>
#include "featuretracker.h"
int main()
{
// Create video procesor instance
VideoProcessor processor;
// Create feature tracker instance
FeatureTracker tracker;
// Open video file
processor.setInput("../bike.avi");
// set frame processor
processor.setFrameProcessor(&tracker);
// Declare a window to display the video
processor.displayOutput("Tracked Features");
// Play the video at the original frame rate
processor.setDelay(1000./processor.getFrameRate());
// Start the process
processor.run();
cv::waitKey();
/*
// Open the video file
cv::VideoCapture capture("../bike.avi");
// check if video successfully opened
if (!capture.isOpened())
return 1;
// Get the frame rate
double rate= capture.get(CV_CAP_PROP_FPS);
bool stop(false);
cv::Mat frame; // current video frame
cv::namedWindow("Extracted Frame");
// Delay between each frame
// corresponds to video frame rate
int delay= 1000/rate/2;
cv::Mat gray,gray_prev;
std::vector<cv::Point2f> points[2];
std::vector<cv::Point2f> features;
const int MAX_COUNT = 500;
cv::Size winSize(10,10);
cv::TermCriteria termcrit(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03);
bool firstframe =true;
// for all frames in video
while (!stop) {
// read next frame if any
if (!capture.read(frame))
break;
cv::cvtColor(frame, gray, CV_BGR2GRAY);
if(firstframe)
{
cv::goodFeaturesToTrack(gray, features, MAX_COUNT, 0.01, 10, cv::Mat(), 3, 0, 0.04);
cv::cornerSubPix(gray, features, winSize, cv::Size(-1,-1), termcrit);
points[0].insert(points[0].end(),features.begin(),features.end());
firstframe=false;
}
{
std::vector<uchar> status;
std::vector<float> err;
if(gray_prev.empty())
gray.copyTo(gray_prev);
cv::calcOpticalFlowPyrLK(gray_prev, gray, points[0], points[1], status, err, winSize,3, termcrit, 0);
size_t i, k;
for( i = k = 0; i < points[1].size(); i++ )
{
if( !status[i] )
continue;
if ((abs(points[0][i].x-points[1][i].x)+(abs(points[0][i].y-points[1][i].y))<2))
continue;
cv::line( frame, points[0][i],points[1][i], cv::Scalar(0,255,0));
points[1][k++] = points[1][i];
cv::circle( frame, points[1][i], 3, cv::Scalar(0,255,0), -1, 8);
}
points[1].resize(k);
}
if(points[1].size()<=10)
firstframe=true;
std::swap(points[1], points[0]);
cv::swap(gray_prev, gray);
cv::imshow("Extracted Frame",frame);
// introduce a delay
// or press key to stop
if (cv::waitKey(delay)>=0)
stop= true;
}
// Close the video file
capture.release();
cv::waitKey();
// Create instance
VideoProcessor processor;
// Open video file
processor.setInput("../bike.avi");
// Output filename
// processor.setOutput("../output/bikeOut",".jpg");
// Declare a window to display the video
processor.displayInput("Current Frame");
processor.displayOutput("Output Frame");
// Play the video at the original frame rate
processor.setDelay(1000./processor.getFrameRate());
// Set the frame processor callback function
processor.setFrameProcessor(draw);
// Start the process
processor.run();
cv::waitKey(5000);*/
}