annotate c/feature-based-tracking.cpp @ 234:2d34060db2e9

removed included code that put track feature option always to true
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Thu, 05 Jul 2012 23:01:36 -0400
parents 249d65ff6c35
children f21ef87f98f1
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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1 #include "Motion.hpp"
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2 #include "Parameters.hpp"
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3 #include "cvutils.hpp"
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4 #include "utils.hpp"
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5
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6 #include "src/Trajectory.h"
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7 #include "src/TrajectoryDBAccessList.h"
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8 #include "src/TrajectoryDBAccessBlob.h"
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10 #include "opencv2/core/core.hpp"
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11 #include "opencv2/imgproc/imgproc.hpp"
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12 #include "opencv2/video/tracking.hpp"
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13 #include "opencv2/features2d/features2d.hpp"
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14 #include "opencv2/highgui/highgui.hpp"
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15 #include "opencv2/objdetect/objdetect.hpp"
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17 #include <boost/shared_ptr.hpp>
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18 #include <boost/foreach.hpp>
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20 #include <iostream>
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21 #include <vector>
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22 #include <ctime>
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24 using namespace std;
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25 using namespace cv;
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27 void drawMatchesRelative(const vector<KeyPoint>& train, const vector<KeyPoint>& query, std::vector<cv::DMatch>& matches, Mat& img) {
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28 for (int i = 0; i < (int)matches.size(); i++)
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29 {
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30 Point2f pt_new = query[matches[i].queryIdx].pt;
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31 Point2f pt_old = train[matches[i].trainIdx].pt;
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32 Point2f dist = pt_new - pt_old;
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33 if (norm(dist) < 20) {
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34 line(img, pt_new, pt_old, Scalar(125, 255, 125), 1);
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35 circle(img, pt_old, 2, Scalar(255, 0, 125), 1);
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36 }
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37 }
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38 }
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40 void drawOpticalFlow(const vector<Point2f>& prevPts, const vector<Point2f>& currPts, const vector<uchar> status, Mat& img) {
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41 for (unsigned int i=0; i<status.size(); i++) {
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42 if (status[i]) {
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43 line(img, prevPts[i], currPts[i], Scalar(125, 255, 125), 1);
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44 circle(img, prevPts[i], 2, Scalar(255, 0, 125), 1);
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45 }
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46 }
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47 }
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49 struct FeaturePointMatch {
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50 FeatureTrajectoryPtr feature;
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51 int pointNum;
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52
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53 FeaturePointMatch(FeatureTrajectoryPtr _feature, const int& _pointNum):
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54 feature(_feature), pointNum(_pointNum) {}
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55 };
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56
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57 inline void saveFeatures(vector<FeatureTrajectoryPtr>& features, TrajectoryDBAccess<Point2f>& db, const string& positionsTableName, const string& velocitiesTableName, const unsigned int& minNFeatures = 0) {
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58 /// \todo smoothing
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59 if (features.size() >= minNFeatures) {
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60 BOOST_FOREACH(FeatureTrajectoryPtr f, features) f->write(db, positionsTableName, velocitiesTableName);
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61 features.clear();
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62 }
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63 }
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64
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65 void trackFeatures(const KLTFeatureTrackingParameters& params) {
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66 // BriefDescriptorExtractor brief(32);
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67 // const int DESIRED_FTRS = 500;
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68 // GridAdaptedFeatureDetector detector(new FastFeatureDetector(10, true), DESIRED_FTRS, 4, 4);
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69
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70 Mat homography = ::loadMat(params.homographyFilename, " ");
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71 Mat invHomography;
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72 if (params.display && !homography.empty())
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73 invHomography = homography.inv();
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74
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75 float minTotalFeatureDisplacement = params.nDisplacements*params.minFeatureDisplacement;
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76 Size window = Size(params.windowSize, params.windowSize);
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77
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78 // BruteForceMatcher<Hamming> descMatcher;
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79 // vector<DMatch> matches;
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80
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81 VideoCapture capture;
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82 Size videoSize;
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83 unsigned int nFrames = 0;
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84 capture.open(params.videoFilename);
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85 if(capture.isOpened()) {
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86 videoSize = Size(capture.get(CV_CAP_PROP_FRAME_WIDTH), capture.get(CV_CAP_PROP_FRAME_HEIGHT));
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87 nFrames = capture.get(CV_CAP_PROP_FRAME_COUNT);
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88 cout << "Video " << params.videoFilename <<
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89 ": width=" << videoSize.width <<
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90 ", height=" << videoSize.height <<
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91 ", nframes=" << nFrames << endl;
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92 } else {
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93 cout << "Video filename " << params.videoFilename << " could not be opened. Exiting." << endl;
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94 exit(0);
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95 }
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96 // if (!capture.isOpened())
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97 // {
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98 // //help(argv);
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99 // cout << "capture device " << argv[1] << " failed to open!" << endl;
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100 // return 1;
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101 // }
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102
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103 Mat mask = imread(params.maskFilename, 0);
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104 if (mask.empty())
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105 mask = Mat::ones(videoSize, CV_8UC1);
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106
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107 boost::shared_ptr<TrajectoryDBAccess<Point2f> > trajectoryDB = boost::shared_ptr<TrajectoryDBAccess<Point2f> >(new TrajectoryDBAccessList<Point2f>());
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108 //TrajectoryDBAccess<Point2f>* trajectoryDB = new TrajectoryDBAccessBlob<Point2f>();
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109 trajectoryDB->connect(params.databaseFilename.c_str());
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110 trajectoryDB->createTable("positions");
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111 trajectoryDB->createTable("velocities");
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112 trajectoryDB->beginTransaction();
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114 std::vector<KeyPoint> prevKpts, currKpts;
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115 std::vector<Point2f> prevPts, currPts, newPts;
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116 std::vector<uchar> status;
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117 std::vector<float> errors;
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118 Mat prevDesc, currDesc;
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120 std::vector<FeatureTrajectoryPtr> lostFeatures;
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121 std::vector<FeaturePointMatch> featurePointMatches;
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123 HOGDescriptor hog;
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124 hog.setSVMDetector(HOGDescriptor::getDefaultPeopleDetector());
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126 int key = '?';
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127 unsigned int savedFeatureId=0;
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128 Mat frame, currentFrameBW, previousFrameBW;
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129
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130 unsigned int lastFrameNum = params.frame1+nFrames;
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diff changeset
131 if (params.nFrames > 0)
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diff changeset
132 lastFrameNum = MIN(params.frame1+params.nFrames, nFrames);
227
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133
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diff changeset
134 capture.set(CV_CAP_PROP_POS_FRAMES, params.frame1);
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135 for (unsigned int frameNum = params.frame1; (frameNum < lastFrameNum) && !::interruptionKey(key); frameNum++) {
121
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diff changeset
136 capture >> frame;
227
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137 if (frameNum%50 ==0)
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138 cout << "frame " << frameNum << endl;
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139 //capture.get(CV_CAP_PROP_POS_FRAMES) << " " << prevPts.size() << endl;
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140
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141 // int emptyFrameNum = 0;
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142 // while (frame.empty()) {
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143 // cerr << "empty frame " << emptyFrameNum << " " << capture.get(CV_CAP_PROP_POS_FRAMES)<< endl;
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144 // capture >> frame;//break;
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145 // emptyFrameNum++;
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146 // if (emptyFrameNum>=3000)
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diff changeset
147 // exit(0);
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148 // }
121
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149
127
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diff changeset
150 cvtColor(frame, currentFrameBW, CV_RGB2GRAY);
130
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151 // "normal" feature detectors: detect features here
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152 // detector.detect(currentFrameBW, currKpts); // see video_homography c++ sample
121
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153
128
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154 if (!prevPts.empty()) {
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155 //::keyPoints2Points(prevKpts, prevPts);
127
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diff changeset
156 currPts.clear();
137
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157 calcOpticalFlowPyrLK(previousFrameBW, currentFrameBW, prevPts, currPts, status, errors, window, params.pyramidLevel, TermCriteria(3 /*static_cast<int>(TermCriteria::COUNT)+static_cast<int>(TermCriteria::EPS)*/, params.maxNumberTrackingIterations, params.minTrackingError), 0.5 /* unused */, 0); // OPTFLOW_USE_INITIAL_FLOW
154
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158 /// \todo try calcOpticalFlowFarneback
128
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159
230
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160 std::vector<Point2f> trackedPts;
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161 std::vector<FeaturePointMatch>::iterator iter = featurePointMatches.begin();
132
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diff changeset
162 while (iter != featurePointMatches.end()) {
135
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163 bool deleteFeature = false;
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164
132
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165 if (status[iter->pointNum]) {
147
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166 iter->feature->addPoint(frameNum, currPts[iter->pointNum], homography);
135
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167
176
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168 deleteFeature |= iter->feature->isDisplacementSmall(params.nDisplacements, minTotalFeatureDisplacement)
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169 || !iter->feature->isMotionSmooth(params.accelerationBound, params.deviationBound);
139
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170 if (deleteFeature)
138
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171 iter->feature->shorten();
139
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172 } else
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173 deleteFeature = true;
135
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174
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175 if (deleteFeature) {
134
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176 if (iter->feature->length() >= params.minFeatureTime) {
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177 iter->feature->setId(savedFeatureId);
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178 savedFeatureId++;
140
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179 lostFeatures.push_back(iter->feature);
134
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180 }
132
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181 iter = featurePointMatches.erase(iter);
138
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182 } else {
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183 trackedPts.push_back(currPts[iter->pointNum]);
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184 iter->pointNum = trackedPts.size()-1;
135
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185 iter++;
138
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186 }
132
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187 }
128
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188 currPts = trackedPts;
132
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189 assert(currPts.size() == featurePointMatches.size());
142
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190 saveFeatures(lostFeatures, *trajectoryDB, "positions", "velocities");
134
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diff changeset
191
139
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192 if (params.display) {
134
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193 BOOST_FOREACH(FeaturePointMatch fp, featurePointMatches)
147
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diff changeset
194 fp.feature->draw(frame, invHomography, Colors::red());
193
a728fce85881 simple test of adding and using default HoG pedestrian detector
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diff changeset
195 // object detection
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196 // vector<Rect> locations;
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197 // hog.detectMultiScale(frame, locations, 0, Size(8,8), Size(32,32), 1.05, 2);
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198 // BOOST_FOREACH(Rect r, locations)
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diff changeset
199 // rectangle(frame, r.tl(), r.br(), cv::Scalar(0,255,0), 3);
139
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200 }
132
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201 //drawOpticalFlow(prevPts, currPts, status, frame);
134
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202
127
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diff changeset
203 // cout << matches.size() << " matches" << endl;
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204 // descMatcher.match(currDesc, prevDesc, matches);
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205 // cout << matches.size() << " matches" << endl;
128
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206 //drawMatchesRelative(prevKpts, currKpts, matches, frame);
125
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diff changeset
207 }
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diff changeset
208
128
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diff changeset
209 // adding new features, using mask around existing feature positions
146
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diff changeset
210 Mat featureMask = mask.clone();
128
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diff changeset
211 for (unsigned int n=0;n<currPts.size(); n++)
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diff changeset
212 for (int j=MAX(0, currPts[n].x-params.minFeatureDistanceKLT); j<MIN(videoSize.width, currPts[n].x+params.minFeatureDistanceKLT+1); j++)
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diff changeset
213 for (int i=MAX(0, currPts[n].y-params.minFeatureDistanceKLT); i<MIN(videoSize.height, currPts[n].y+params.minFeatureDistanceKLT+1); i++)
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diff changeset
214 featureMask.at<uchar>(i,j)=0;
130
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diff changeset
215 goodFeaturesToTrack(currentFrameBW, newPts, params.maxNFeatures, params.featureQuality, params.minFeatureDistanceKLT, featureMask, params.windowSize, params.useHarrisDetector, params.k);
132
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diff changeset
216 BOOST_FOREACH(Point2f p, newPts) { //for (unsigned int i=0; i<newPts.size(); i++) {
147
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diff changeset
217 FeatureTrajectoryPtr f = FeatureTrajectoryPtr(new FeatureTrajectory(frameNum, p, homography));
132
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diff changeset
218 featurePointMatches.push_back(FeaturePointMatch(f, currPts.size()));
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diff changeset
219 currPts.push_back(p);
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diff changeset
220 }
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diff changeset
221 // currPts.insert(currPts.end(), newPts.begin(), newPts.end());
130
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diff changeset
222 //::keyPoints2Points(currKpts, currPts, false);
128
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diff changeset
223
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diff changeset
224 //brief.compute(currentFrameBW, currKpts, currDesc); //Compute brief descriptors at each keypoint location
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diff changeset
225
134
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diff changeset
226 if (params.display) {
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diff changeset
227 imshow("frame", frame);
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diff changeset
228 imshow("mask", featureMask*256);
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diff changeset
229 key = waitKey(2);
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diff changeset
230 }
127
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diff changeset
231 previousFrameBW = currentFrameBW.clone();
128
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diff changeset
232 prevPts = currPts;
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diff changeset
233 //prevKpts = currKpts;
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diff changeset
234 //currDesc.copyTo(prevDesc);
121
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diff changeset
235 }
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diff changeset
236
142
a3532db00c28 added code to write velocities
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diff changeset
237 trajectoryDB->endTransaction();
136
0f790de9437e renamed Feature to Motion files and added code to test blob db
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diff changeset
238 trajectoryDB->disconnect();
164
76610dcf3b8d added test code to read trajectories
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parents: 163
diff changeset
239 }
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diff changeset
240
169
5f705809d37a created groupFeatures function
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diff changeset
241 void groupFeatures(const KLTFeatureTrackingParameters& params) {
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diff changeset
242 boost::shared_ptr<TrajectoryDBAccessList<Point2f> > trajectoryDB = boost::shared_ptr<TrajectoryDBAccessList<Point2f> >(new TrajectoryDBAccessList<Point2f>());
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diff changeset
243 //TODO write generic methods for blob and list versions TrajectoryDBAccess<Point2f>* trajectoryDB = new TrajectoryDBAccessBlob<Point2f>();
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diff changeset
244 bool success = trajectoryDB->connect(params.databaseFilename.c_str());
202
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parents: 194
diff changeset
245 trajectoryDB->createObjectTable("objects", "objects_features");
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parents: 194
diff changeset
246 unsigned int savedObjectId=0;
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diff changeset
247
188
1435965d8181 work on connected components
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diff changeset
248 // vector<boost::shared_ptr<Trajectory<Point2f> > > trajectories;
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diff changeset
249 // cout << trajectories.size() << endl;
174
ec9734015d53 tested loading trajectory by id numbers
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diff changeset
250 // std::clock_t c_start = std::clock();
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diff changeset
251 // success = trajectoryDB->read(trajectories, "positions"); // TODO load velocities as well in a FeatureTrajectory object // attention, velocities lack the first instant
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diff changeset
252 // std::clock_t c_end = std::clock();
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diff changeset
253 // cout << "Loaded " << trajectories.size() << " trajectories in " << 1000.0 * (c_end-c_start) / CLOCKS_PER_SEC << " CPU seconds" << endl;
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diff changeset
254
ec9734015d53 tested loading trajectory by id numbers
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diff changeset
255 // boost::shared_ptr<Trajectory<cv::Point2f> > trajectory;
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256 // c_start = std::clock();
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257 // for (unsigned int i = 0; i<trajectories.size(); ++i) {
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258 // success = trajectoryDB->read(trajectory, i, "positions");
169
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259 // }
174
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260 // c_end = std::clock();
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261 // cout << "Loaded " << trajectories.size() << " trajectories one by one in " << 1000.0 * (c_end-c_start) / CLOCKS_PER_SEC << " CPU seconds" << endl;
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262
225
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263 trajectoryDB->createInstants("table");
221
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264
225
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265 unsigned int maxTrajectoryLength = 0;
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266 success = trajectoryDB->maxTrajectoryLength(maxTrajectoryLength);
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267 if (!success || maxTrajectoryLength == 0) {
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268 cout << "problem with trajectory length " << success << endl;
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269 exit(0);
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270 }
222
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271 cout << "Longest trajectory: " << maxTrajectoryLength << endl;
219
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272
191
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273 FeatureGraph featureGraph(params.mmConnectionDistance, params.mmSegmentationDistance, params.minFeatureTime, params.minNFeaturesPerGroup);
180
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274
169
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275 // main loop
227
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276 unsigned int frameNum;
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277 unsigned int firstFrameNum = -1, lastFrameNum = -1;
225
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278 trajectoryDB->firstLastInstants(firstFrameNum, lastFrameNum);
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279 firstFrameNum = MAX(firstFrameNum, params.frame1);
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280 if (params.nFrames>0)
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281 lastFrameNum = MIN(lastFrameNum,params.frame1+params.nFrames);
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282 for (frameNum = firstFrameNum; frameNum<lastFrameNum; frameNum ++) {
174
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283 vector<int> trajectoryIds;
231
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284 success = trajectoryDB->trajectoryIdEndingAt(trajectoryIds, frameNum);
225
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285 if (frameNum%100 ==0)
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286 cout << "frame " << frameNum << endl;
222
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287 //success = trajectoryDB->trajectoryIdInInterval(trajectoryIds, frameNum, min(frameNum+queryIntervalLength-1, frameNum+params.nFrames)); // ending
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288 #if DEBUG
174
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289 cout << trajectoryIds.size() << " trajectories " << endl;
222
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290 #endif
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291 // vector<TrajectoryPoint2fPtr> positions, velocities;
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292 // trajectoryDB->read(positions, trajectoryIds, "positions");
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293 // trajectoryDB->read(velocities, trajectoryIds, "velocities");
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294 // for (unsigned int i=0; i<trajectoryIds.size(); ++i) {
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295 // FeatureTrajectoryPtr ft = FeatureTrajectoryPtr(new FeatureTrajectory(positions[i], velocities[i]));
174
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296 BOOST_FOREACH(int trajectoryId, trajectoryIds) {
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297 //cout << trajectoryId << " " << endl;
177
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298 // boost::shared_ptr<Trajectory<cv::Point2f> > trajectory;
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299 // success = trajectoryDB->read(trajectory, trajectoryId, "positions"); // velocities
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300 FeatureTrajectoryPtr ft = FeatureTrajectoryPtr(new FeatureTrajectory(trajectoryId, *trajectoryDB, "positions", "velocities"));
180
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301 // stringstream ss;ss << *ft; cout << ss.str() << endl;
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302 // cout << ft->getFirstInstant() << " " << ft->getLastInstant() << endl;
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303 featureGraph.addFeature(ft);
174
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304 }
172
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305
222
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306 // check for connected components
225
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307 int lastInstant = frameNum+params.minFeatureTime-maxTrajectoryLength;
231
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308 if (lastInstant > 0 && frameNum%10==0) {
225
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309 featureGraph.connectedComponents(lastInstant);
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310 vector<vector<unsigned int> > featureGroups = featureGraph.getFeatureGroups();
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311 for (unsigned int i=0; i<featureGroups.size(); ++i) {
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312 trajectoryDB->writeObject(savedObjectId, featureGroups[i], -1, 1, string("objects"), string("objects_features"));
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313 savedObjectId++;
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314 }
188
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315 }
222
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316
225
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317 if (frameNum%100 ==0)
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318 cout << featureGraph.informationString() << endl;
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319 }
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320
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321 // save remaining objects
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322 featureGraph.connectedComponents(frameNum+maxTrajectoryLength+1);
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323 vector<vector<unsigned int> > featureGroups = featureGraph.getFeatureGroups();
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324 for (unsigned int i=0; i<featureGroups.size(); ++i) {
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325 trajectoryDB->writeObject(savedObjectId, featureGroups[i], -1, 1, string("objects"), string("objects_features"));
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326 savedObjectId++;
180
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327 }
169
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328
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329 trajectoryDB->endTransaction();
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330 trajectoryDB->disconnect();
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331 }
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332
164
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333 int main(int argc, char *argv[]) {
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334 KLTFeatureTrackingParameters params(argc, argv);
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335 cout << params.parameterDescription << endl;
234
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336
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337 if (params.trackFeatures) {
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338 cout << "The program tracks features" << endl;
164
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339 trackFeatures(params);
234
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340 } else if (params.groupFeatures) {
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341 cout << "The program groups features" << endl;
169
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342 groupFeatures(params);
234
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343 }
164
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344
117
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345 return 0;
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346 }
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347
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348 /* ------------------ DOCUMENTATION ------------------ */
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349
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350
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351 /*! \mainpage
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352
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353 This project is a collection of software tools for transportation called Traffic Intelligence. Other documents are:
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354
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355 - \ref feature_based_tracking
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356
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357 The code is partially self-described using the doxygen tool and comment formatting. The documentation can be extracted using doxygen, typing \c doxygen in the main directory (or <tt>make doc</tt> on a system with the Makefile tool installed).
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358
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359 */
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360
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361 /*! \page feature_based_tracking Feature-based Tracking: User Manual
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362
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363 This document describes a software tool for object tracking in video data, developed for road traffic monitoring and safety diagnosis. It is part of a larger collection of software tools for transportation called Traffic Intelligence.
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364
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365 The tool relies on feature-based tracking, a robust object tracking methods, particularly suited for the extraction of traffic data such as trajectories and speeds. The best description of this method is given in <a href="http://nicolas.saunier.confins.net/data/saunier06crv.html">this paper</a>. The program has a command line interface and this document will shortly explain how to use the tool. Keep in mind this is a work in progress and major changes are continuously being made.
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366
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367 \section License
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368
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369 The code is licensed under the MIT open source license (http://www.opensource.org/licenses/mit-license).
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370
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371 If you make use of this piece of software, please cite one of my paper, e.g. N. Saunier, T. Sayed and K. Ismail. Large Scale Automated Analysis of Vehicle Interactions and Collisions. Transportation Research Record: Journal of the Transportation Research Board, 2147:42-50, 2010. I would be very happy in any case to know about any use of the code, and to discuss any opportunity for collaboration.
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372
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373 Contact me at nicolas.saunier@polymtl.ca and learn more about my work at http://nicolas.saunier.confins.net.
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374
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375 */