Subversion Repositories OpenCV2-Cookbook

/*------------------------------------------------------------------------------------------*\

   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);*/

}