通过camshiftdemo.cpp来学习camshift算法

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#include "opencv2/video/tracking.hpp"#include "opencv2/imgproc/imgproc.hpp"#include "opencv2/highgui/highgui.hpp"#include <iostream>#include <ctype.h>using namespace cv;using namespace std;Mat image;bool backprojMode = false;bool selectObject = false;int trackObject = 0;bool showHist = true;Point origin;Rect selection;int vmin = 10, vmax = 256, smin = 30;static void onMouse( int event, int x, int y, int, void* ){    if( selectObject )    {        selection.x = MIN(x, origin.x);        selection.y = MIN(y, origin.y);        selection.width = std::abs(x - origin.x);        selection.height = std::abs(y - origin.y);        selection &= Rect(0, 0, image.cols, image.rows);    }    switch( event )    {    case CV_EVENT_LBUTTONDOWN:        origin = Point(x,y);        selection = Rect(x,y,0,0);        selectObject = true;        break;    case CV_EVENT_LBUTTONUP:        selectObject = false;        if( selection.width > 0 && selection.height > 0 )            trackObject = -1;        break;    }}static void help(){    cout << "\nThis is a demo that shows mean-shift based tracking\n"            "You select a color objects such as your face and it tracks it.\n"            "This reads from video camera (0 by default, or the camera number the user enters\n"            "Usage: \n"            "   ./camshiftdemo [camera number]\n";    cout << "\n\nHot keys: \n"            "\tESC - quit the program\n"            "\tc - stop the tracking\n"            "\tb - switch to/from backprojection view\n"            "\th - show/hide object histogram\n"            "\tp - pause video\n"            "To initialize tracking, select the object with mouse\n";}const char* keys ={    "{1|  | 0 | camera number}"};int main( int argc, const char** argv ){    help();    VideoCapture cap;    Rect trackWindow;    int hsize = 16;    float hranges[] = {0,180};    const float* phranges = hranges;    CommandLineParser parser(argc, argv, keys);    int camNum = parser.get<int>("1");    cap.open(camNum);    if( !cap.isOpened() )    {        help();        cout << "***Could not initialize capturing...***\n";        cout << "Current parameter's value: \n";        parser.printParams();        return -1;    }    namedWindow( "Histogram", 0 );    namedWindow( "CamShift Demo", 0 );    setMouseCallback( "CamShift Demo", onMouse, 0 );    createTrackbar( "Vmin", "CamShift Demo", &vmin, 256, 0 );    createTrackbar( "Vmax", "CamShift Demo", &vmax, 256, 0 );    createTrackbar( "Smin", "CamShift Demo", &smin, 256, 0 );    Mat frame, hsv, hue, mask, hist, histimg = Mat::zeros(200, 320, CV_8UC3), backproj;    bool paused = false;    for(;;)    {        if( !paused )        {            cap >> frame;            if( frame.empty() )                break;        }        frame.copyTo(image);        if( !paused )        {            cvtColor(image, hsv, CV_BGR2HSV);            if( trackObject )            {                int _vmin = vmin, _vmax = vmax;                inRange(hsv, Scalar(0, smin, MIN(_vmin,_vmax)),                        Scalar(180, 256, MAX(_vmin, _vmax)), mask);                int ch[] = {0, 0};                hue.create(hsv.size(), hsv.depth());                mixChannels(&hsv, 1, &hue, 1, ch, 1);                if( trackObject < 0 )                {                    Mat roi(hue, selection), maskroi(mask, selection);                    calcHist(&roi, 1, 0, maskroi, hist, 1, &hsize, &phranges);                    normalize(hist, hist, 0, 255, CV_MINMAX);                    trackWindow = selection;                    trackObject = 1;                    histimg = Scalar::all(0);                    int binW = histimg.cols / hsize;                    Mat buf(1, hsize, CV_8UC3);                    for( int i = 0; i < hsize; i++ )                        buf.at<Vec3b>(i) = Vec3b(saturate_cast<uchar>(i*180./hsize), 255, 255);                    cvtColor(buf, buf, CV_HSV2BGR);                    for( int i = 0; i < hsize; i++ )                    {                        int val = saturate_cast<int>(hist.at<float>(i)*histimg.rows/255);                        rectangle( histimg, Point(i*binW,histimg.rows),                                   Point((i+1)*binW,histimg.rows - val),                                   Scalar(buf.at<Vec3b>(i)), -1, 8 );                    }                }                calcBackProject(&hue, 1, 0, hist, backproj, &phranges);                backproj &= mask;                RotatedRect trackBox = CamShift(backproj, trackWindow,                                    TermCriteria( CV_TERMCRIT_EPS | CV_TERMCRIT_ITER, 10, 1 ));                if( trackWindow.area() <= 1 )                {                    int cols = backproj.cols, rows = backproj.rows, r = (MIN(cols, rows) + 5)/6;                    trackWindow = Rect(trackWindow.x - r, trackWindow.y - r,                                       trackWindow.x + r, trackWindow.y + r) &                                  Rect(0, 0, cols, rows);                }                if( backprojMode )                    cvtColor( backproj, image, CV_GRAY2BGR );                ellipse( image, trackBox, Scalar(0,0,255), 3, CV_AA );            }        }        else if( trackObject < 0 )            paused = false;        if( selectObject && selection.width > 0 && selection.height > 0 )        {            Mat roi(image, selection);            bitwise_not(roi, roi);        }        imshow( "CamShift Demo", image );        imshow( "Histogram", histimg );        char c = (char)waitKey(10);        if( c == 27 )            break;        switch(c)        {        case 'b':            backprojMode = !backprojMode;            break;        case 'c':            trackObject = 0;            histimg = Scalar::all(0);            break;        case 'h':            showHist = !showHist;            if( !showHist )                destroyWindow( "Histogram" );            else                namedWindow( "Histogram", 1 );            break;        case 'p':            paused = !paused;            break;        default:            ;        }    }    return 0;}

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