-///////////////////////////////////////////////////////////////////////////
-// This program is free software: you can redistribute it and/or modify //
-// it under the terms of the version 3 of the GNU General Public License //
-// as published by the Free Software Foundation. //
-// //
-// This program is distributed in the hope that it will be useful, but //
-// WITHOUT ANY WARRANTY; without even the implied warranty of //
-// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU //
-// General Public License for more details. //
-// //
-// You should have received a copy of the GNU General Public License //
-// along with this program. If not, see <http://www.gnu.org/licenses/>. //
-// //
-// Written by and Copyright (C) Francois Fleuret //
-// Contact <francois.fleuret@idiap.ch> for comments & bug reports //
-///////////////////////////////////////////////////////////////////////////
+/*
+ * mtp is the ``Multi Tracked Paths'', an implementation of the
+ * k-shortest paths algorithm for multi-target tracking.
+ *
+ * Copyright (c) 2012 Idiap Research Institute, http://www.idiap.ch/
+ * Written by Francois Fleuret <francois.fleuret@idiap.ch>
+ *
+ * This file is part of mtp.
+ *
+ * mtp is free software: you can redistribute it and/or modify it
+ * under the terms of the GNU General Public License version 3 as
+ * published by the Free Software Foundation.
+ *
+ * mtp is distributed in the hope that it will be useful, but WITHOUT
+ * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+ * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public
+ * License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with selector. If not, see <http://www.gnu.org/licenses/>.
+ *
+ */
// Multi-Tracked Path
//////////////////////////////////////////////////////////////////////
-scalar_t detection_score(scalar_t a, scalar_t b, scalar_t score_noise, scalar_t flip_noise) {
- if(drand48() > flip_noise) {
- return a + score_noise * (2.0 * drand48() - 1.0);
+scalar_t noisy_score(scalar_t true_score, scalar_t erroneous_score,
+ scalar_t score_noise, scalar_t flip_noise) {
+ if(drand48() < flip_noise) {
+ return erroneous_score + score_noise * (2.0 * drand48() - 1.0);
} else {
- return b + score_noise * (2.0 * drand48() - 1.0);
+ return true_score + score_noise * (2.0 * drand48() - 1.0);
}
}
for(int t = 0; t < nb_time_steps; t++) {
for(int l = 0; l < nb_locations; l++) {
- tracker->detection_scores[t][l] = detection_score(-1.0, 1.0, score_noise, flip_noise);
+ tracker->noisy_scores[t][l] = noisy_score(-1.0, 1.0, score_noise, flip_noise);
}
}
if(t < nb_time_steps/2) {
la = t;
lb = nb_locations - 1 - t;
- sa = detection_score(10.0, -1.0, score_noise, flip_noise);
- sb = detection_score( 1.0, -1.0, score_noise, flip_noise);
+ sa = noisy_score(10.0, -1.0, score_noise, flip_noise);
+ sb = noisy_score( 1.0, -1.0, score_noise, flip_noise);
} else {
la = nb_time_steps - 1 - t;
lb = t - nb_time_steps + nb_locations;
- sa = detection_score( 1.0, -1.0, score_noise, flip_noise);
- sb = detection_score(10.0, -1.0, score_noise, flip_noise);
+ sa = noisy_score( 1.0, -1.0, score_noise, flip_noise);
+ sb = noisy_score(10.0, -1.0, score_noise, flip_noise);
}
if(la > nb_locations/2 - 1) la = nb_locations/2 - 1;
if(lb < nb_locations/2 + 1) lb = nb_locations/2 + 1;
- tracker->detection_scores[t][la] = sa;
- tracker->detection_scores[t][lb] = sb;
+ tracker->noisy_scores[t][la] = sa;
+ tracker->noisy_scores[t][lb] = sb;
}
{ // Write down the tracker setting