//*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2008-2011, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of Intel Corporation may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "precomp.hpp" #include "opencv2/contrib/hybridtracker.hpp" using namespace cv; using namespace std; CvMeanShiftTracker::CvMeanShiftTracker(CvMeanShiftTrackerParams _params) : params(_params) { } CvMeanShiftTracker::~CvMeanShiftTracker() { } void CvMeanShiftTracker::newTrackingWindow(Mat image, Rect selection) { hist.release(); int channels[] = { 0, 0 , 1, 1}; float hrange[] = { 0, 180 }; float srange[] = { 0, 1 }; const float* ranges[] = {hrange, srange}; cvtColor(image, hsv, CV_BGR2HSV); inRange(hsv, Scalar(0, 30, MIN(10, 256)), Scalar(180, 256, MAX(10, 256)), mask); hue.create(hsv.size(), CV_8UC2); mixChannels(&hsv, 1, &hue, 1, channels, 2); Mat roi(hue, selection); Mat maskroi(mask, selection); int ch[] = {0, 1}; int chsize[] = {32, 32}; calcHist(&roi, 1, ch, maskroi, hist, 1, chsize, ranges); normalize(hist, hist, 0, 255, CV_MINMAX); prev_trackwindow = selection; } RotatedRect CvMeanShiftTracker::updateTrackingWindow(Mat image) { int channels[] = { 0, 0 , 1, 1}; float hrange[] = { 0, 180 }; float srange[] = { 0, 1 }; const float* ranges[] = {hrange, srange}; cvtColor(image, hsv, CV_BGR2HSV); inRange(hsv, Scalar(0, 30, MIN(10, 256)), Scalar(180, 256, MAX(10, 256)), mask); hue.create(hsv.size(), CV_8UC2); mixChannels(&hsv, 1, &hue, 1, channels, 2); int ch[] = {0, 1}; calcBackProject(&hue, 1, ch, hist, backproj, ranges); backproj &= mask; prev_trackbox = CamShift(backproj, prev_trackwindow, TermCriteria(CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1)); int cols = backproj.cols, rows = backproj.rows, r = (MIN(cols, rows) + 5) / 6; prev_trackwindow = Rect(prev_trackwindow.x - r, prev_trackwindow.y - r, prev_trackwindow.x + r, prev_trackwindow.y + r) & Rect(0, 0, cols, rows); prev_center.x = prev_trackwindow.x + prev_trackwindow.width / 2; prev_center.y = prev_trackwindow.y + prev_trackwindow.height / 2; #ifdef DEBUG_HYTRACKER ellipse(image, prev_trackbox, Scalar(0, 0, 255), 1, CV_AA); #endif return prev_trackbox; } Mat CvMeanShiftTracker::getHistogramProjection(int type) { Mat ms_backproj_f(backproj.size(), type); backproj.convertTo(ms_backproj_f, type); return ms_backproj_f; } void CvMeanShiftTracker::setTrackingWindow(Rect window) { prev_trackwindow = window; } Rect CvMeanShiftTracker::getTrackingWindow() { return prev_trackwindow; } RotatedRect CvMeanShiftTracker::getTrackingEllipse() { return prev_trackbox; } Point2f CvMeanShiftTracker::getTrackingCenter() { return prev_center; }