X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=mtp.cc;fp=mtp.cc;h=0000000000000000000000000000000000000000;hb=9665f6b8d842f02facda1590200742482d4362fa;hp=7f55e0a8a060cafb96d0e961dbeb1ec7dd5e5fc0;hpb=4d9b58034ce82094c233b61da247e11a584ec0bd;p=mtp.git diff --git a/mtp.cc b/mtp.cc deleted file mode 100644 index 7f55e0a..0000000 --- a/mtp.cc +++ /dev/null @@ -1,141 +0,0 @@ - -/////////////////////////////////////////////////////////////////////////// -// 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 . // -// // -// Written by and Copyright (C) Francois Fleuret // -// Contact for comments & bug reports // -/////////////////////////////////////////////////////////////////////////// - -// Multi-Tracked Path - -#include -#include - -using namespace std; - -#include "tracker.h" - -////////////////////////////////////////////////////////////////////// - -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); - } else { - return b + score_noise * (2.0 * drand48() - 1.0); - } -} - -int main(int argc, char **argv) { - int nb_locations = 7; - int nb_time_steps = 8; - int motion_amplitude = 1; - - Tracker *tracker = new Tracker(nb_time_steps, nb_locations); - - // We define the spatial structures by stating what are the possible - // motions of targets, and what are the entrances and the - // exits. - - // Here our example is a 1D space with motions from any location to - // any location less than motion_amplitude away, entrance at - // location 0 and exit at location nb_locations-1. - - for(int l = 0; l < nb_locations; l++) { - for(int k = 0; k < nb_locations; k++) { - tracker->allowed_motion[l][k] = abs(l - k) <= motion_amplitude; - } - tracker->entrances[0] = 1; - tracker->exits[nb_locations - 1] = 1; - } - - // We construct the graph corresponding to this structure - - tracker->build_graph(); - - // Then, we specify for every location and time step what is the - // detection score there. - - scalar_t flip_noise = 0.05; - scalar_t score_noise = 0.0; - - // We first put a background noise, with negative scores at every - // location. - - 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); - } - } - - // Then we two targets with the typical local minimum: - // - // * Target A moves from location 0 to the middle, stays there for a - // while, and comes back, and is strongly detected on the first - // half - // - // * Target B moves from location nb_locations-1 to the middle, stay - // there for a while, and comes back, and is strongly detected on - // the second half - - int la, lb; // Target locations - scalar_t sa, sb; // Target detection scores - for(int t = 0; t < nb_time_steps; t++) { - 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); - } 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); - } - - 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; - } - - // Does the tracking per se - - tracker->track(); - - // Prints the detected trajectories - - for(int t = 0; t < tracker->nb_trajectories(); t++) { - cout << "TRAJECTORY " - << t - << " [starting " << tracker->trajectory_entrance_time(t) - << ", score " << tracker->trajectory_score(t) << "]"; - for(int u = 0; u < tracker->trajectory_duration(t); u++) { - cout << " " << tracker->trajectory_location(t, u); - } - cout << endl; - } - - // Save the underlying graph in the dot format, with occupied edges - // marked in bold. - - { - ofstream dot("graph.dot"); - tracker->print_graph_dot(&dot); - cout << "Wrote graph.dot." << endl; - } - - delete tracker; - - exit(EXIT_SUCCESS); -}