samples/cpp/lkdemo.cpp#
An example using the Lucas-Kanade optical flow algorithm
1#include "opencv2/video/tracking.hpp"
2#include "opencv2/imgproc.hpp"
3#include "opencv2/features.hpp"
4#include "opencv2/videoio.hpp"
5#include "opencv2/highgui.hpp"
6
7#include <iostream>
8#include <ctype.h>
9
10using namespace cv;
11using namespace std;
12
13static void help()
14{
15 // print a welcome message, and the OpenCV version
16 cout << "\nThis is a demo of Lukas-Kanade optical flow lkdemo(),\n"
17 "Using OpenCV version " << CV_VERSION << endl;
18 cout << "\nIt uses camera by default, but you can provide a path to video as an argument.\n";
19 cout << "\nHot keys: \n"
20 "\tESC - quit the program\n"
21 "\tr - auto-initialize tracking\n"
22 "\tc - delete all the points\n"
23 "\tn - switch the \"night\" mode on/off\n"
24 "To add/remove a feature point click it\n" << endl;
25}
26
27Point2f point;
28bool addRemovePt = false;
29
30static void onMouse( int event, int x, int y, int /*flags*/, void* /*param*/ )
31{
32 if( event == EVENT_LBUTTONDOWN )
33 {
34 point = Point2f((float)x, (float)y);
35 addRemovePt = true;
36 }
37}
38
39int main( int argc, char** argv )
40{
41 VideoCapture cap;
42 TermCriteria termcrit(TermCriteria::COUNT|TermCriteria::EPS,20,0.03);
43 Size subPixWinSize(10,10), winSize(31,31);
44
45 const int MAX_COUNT = 500;
46 bool needToInit = false;
47 bool nightMode = false;
48
49 help();
50 cv::CommandLineParser parser(argc, argv, "{@input|0|}");
51 string input = parser.get<string>("@input");
52
53 if( input.size() == 1 && isdigit(input[0]) )
54 cap.open(input[0] - '0');
55 else
56 cap.open(input);
57
58 if( !cap.isOpened() )
59 {
60 cout << "Could not initialize capturing...\n";
61 return 0;
62 }
63
64 namedWindow( "LK Demo", 1 );
65 setMouseCallback( "LK Demo", onMouse, 0 );
66
67 Mat gray, prevGray, image, frame;
68 vector<Point2f> points[2];
69
70 for(;;)
71 {
72 cap >> frame;
73 if( frame.empty() )
74 break;
75
76 frame.copyTo(image);
77 cvtColor(image, gray, COLOR_BGR2GRAY);
78
79 if( nightMode )
80 image = Scalar::all(0);
81
82 if( needToInit )
83 {
84 // automatic initialization
85 goodFeaturesToTrack(gray, points[1], MAX_COUNT, 0.01, 10, Mat(), 3, 3, 0, 0.04);
86 cornerSubPix(gray, points[1], subPixWinSize, Size(-1,-1), termcrit);
87 addRemovePt = false;
88 }
89 else if( !points[0].empty() )
90 {
91 vector<uchar> status;
92 vector<float> err;
93 if(prevGray.empty())
94 gray.copyTo(prevGray);
95 calcOpticalFlowPyrLK(prevGray, gray, points[0], points[1], status, err, winSize,
96 3, termcrit, 0, 0.001);
97 size_t i, k;
98 for( i = k = 0; i < points[1].size(); i++ )
99 {
100 if( addRemovePt )
101 {
102 if( norm(point - points[1][i]) <= 5 )
103 {
104 addRemovePt = false;
105 continue;
106 }
107 }
108
109 if( !status[i] )
110 continue;
111
112 points[1][k++] = points[1][i];
113 circle( image, points[1][i], 3, Scalar(0,255,0), -1, 8);
114 }
115 points[1].resize(k);
116 }
117
118 if( addRemovePt && points[1].size() < (size_t)MAX_COUNT )
119 {
120 vector<Point2f> tmp;
121 tmp.push_back(point);
122 cornerSubPix( gray, tmp, winSize, Size(-1,-1), termcrit);
123 points[1].push_back(tmp[0]);
124 addRemovePt = false;
125 }
126
127 needToInit = false;
128 imshow("LK Demo", image);
129
130 char c = (char)waitKey(10);
131 if( c == 27 )
132 break;
133 switch( c )
134 {
135 case 'r':
136 needToInit = true;
137 break;
138 case 'c':
139 points[0].clear();
140 points[1].clear();
141 break;
142 case 'n':
143 nightMode = !nightMode;
144 break;
145 }
146
147 std::swap(points[1], points[0]);
148 cv::swap(prevGray, gray);
149 }
150
151 return 0;
152}