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@ -17,7 +17,7 @@ class Traite_image { |
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const static int THRESHOLD_DETECT_SENSITIVITY = 10; |
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const static int BLUR_SIZE = 5; |
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const static int THRESHOLD_MOV = 5; |
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constexpr static float MOVEMENT_THRES = 0.1; |
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constexpr static float MOVEMENT_THRES = 0.05; |
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constexpr static float FLOW_MIN_QUAL = 0.01; |
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const static int FLOW_MIN_DIST = 20; |
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@ -80,10 +80,12 @@ class Traite_image { |
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} |
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Mat next_stab; |
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stabiliseImg(prev, next, next_stab); |
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trackFeatures(prev, next); |
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stabiliseImg(next, next_stab); |
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trackingOptFlow(prev, next_stab, next_stab); |
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Mat next_stab2; |
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stabiliseImg(prev, next, next_stab2); |
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trackFeatures(prev, next); |
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stabiliseImg(next, next_stab2); |
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trackingOptFlow(prev, next_stab2, output); |
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//searchForMovementOptFlow(prev_cropped, next_stab_cropped, output);
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@ -98,23 +100,14 @@ class Traite_image { |
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prev = next.clone(); |
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} |
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//int to string helper function
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string intToString(int number){ |
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//this function has a number input and string output
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std::stringstream ss; |
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ss << number; |
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return ss.str(); |
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} |
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void stabiliseImg(Mat prev, Mat cur, Mat &output){ |
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void trackFeatures(Mat prev, Mat cur) { |
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Mat cur_grey, prev_grey; |
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cvtColor(cur, cur_grey, COLOR_BGR2GRAY); |
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cvtColor(prev, prev_grey, COLOR_BGR2GRAY); |
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// vector from prev to cur
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vector <Point2f> prev_corner, cur_corner; |
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vector <Point2f> prev_corner2, cur_corner2; |
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vector <uchar> status; |
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vector <float> err; |
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@ -122,15 +115,18 @@ class Traite_image { |
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calcOpticalFlowPyrLK(prev_grey, cur_grey, prev_corner, cur_corner, status, err); |
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// weed out bad matches
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prev_ftr.clear(); |
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cur_ftr.clear(); |
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prev_ftr.resize(0); |
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cur_ftr.resize(0); |
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for(size_t i=0; i < status.size(); i++) { |
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if(status[i]) { |
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prev_ftr.push_back(prev_corner[i]); |
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cur_ftr.push_back(cur_corner[i]); |
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} |
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} |
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} |
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void stabiliseImg(Mat cur, Mat &output){ |
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T = estimateRigidTransform(prev_ftr, cur_ftr, true); // false = rigid transform, no scaling/shearing
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if(T.data == NULL) |
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@ -145,9 +141,11 @@ class Traite_image { |
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cur2.copyTo(output); |
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} |
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void warpPoints(vector<Point2f> p, vector<Point2f> &p_warp, Mat T, bool invert=false) { |
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Mat H; |
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if(invert) |
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invertAffineTransform(T, T); |
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invertAffineTransform(T, H); |
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p_warp.clear(); |
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for(size_t i=0; i < p.size(); ++i) { |
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@ -157,29 +155,34 @@ class Traite_image { |
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src.at<double>(1,0)=p[i].y; |
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src.at<double>(2,0)=1.0; |
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Mat dst = T*src; //USE MATRIX ALGEBRA
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Mat dst = H*src; //USE MATRIX ALGEBRA
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p_warp.push_back(Point2f(dst.at<double>(0,0),dst.at<double>(1,0))); |
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} |
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} |
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void trackingOptFlow(Mat prev, Mat cur, Mat &output) { |
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cur.copyTo(output); |
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vector <Point2f> cur_ftr_stab; |
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Mat T = estimateRigidTransform(prev_ftr, cur_ftr, true); // false = rigid transform, no scaling/shearing
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if(T.data == NULL) |
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last_T.copyTo(T); |
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else |
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T.copyTo(last_T); |
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//T = estimateRigidTransform(prev_ftr, cur_ftr, true); // false = rigid transform, no scaling/shearing
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//if(T.data == NULL)
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// last_T.copyTo(T);
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//else
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// T.copyTo(last_T);
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warpPoints(cur_ftr, cur_ftr_stab, T, true); |
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vector <Point2f> objects; |
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vector <float> flow_norm; |
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for(size_t i=0; i < prev_ftr.size(); ++i) { |
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float flow_norm = norm(prev_ftr[i] - cur_ftr_stab[i]) / prev.size().height; |
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flow_norm.push_back(norm(prev_ftr[i] - cur_ftr_stab[i]) / prev.size().height); |
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line(output, prev_ftr[i], cur_ftr[i], Scalar(200,0,0),1); |
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line(output, prev_ftr[i], cur_ftr_stab[i], Scalar(0,200,0),1); |
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if(flow_norm > MOVEMENT_THRES) { |
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} |
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for(size_t i=0; i < flow_norm.size(); ++i) { |
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if(flow_norm[i] > MOVEMENT_THRES) { |
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objects.push_back(cur_ftr_stab[i]); |
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prev_ftr.erase(prev_ftr.begin() + i); |
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cur_ftr.erase(cur_ftr.begin() + i); |
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@ -191,6 +194,7 @@ class Traite_image { |
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} |
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} |
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inline bool isFlowCorrect(Point2f u) |
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{ |
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return !cvIsNaN(u.x) && !cvIsNaN(u.y) && fabs(u.x) < 1e9 && fabs(u.y) < 1e9; |
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@ -215,6 +219,16 @@ class Traite_image { |
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pub_cmd.publish(twist); |
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} |
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//int to string helper function
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string intToString(int number){ |
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//this function has a number input and string output
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std::stringstream ss; |
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ss << number; |
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return ss.str(); |
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} |
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}; |
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