/*------------------------------------------------------------------------------------------*\ 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 #include #include #include #include #include #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 points[2]; std::vector 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 status; std::vector 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);*/ }