//////////////////////////////////////////////////////////////////////
+scalar_t detection_score(int true_label, scalar_t flip_noise) {
+ if((true_label > 0) == (drand48() < flip_noise)) {
+ return 1.0 + 0.2 * (drand48() - 0.5);
+ } else {
+ return - 1.0 + 0.2 * (drand48() - 0.5);
+ }
+}
+
int main(int argc, char **argv) {
int nb_locations = 5;
int nb_time_steps = 20;
- int motion_amplitude = 2;
+ int motion_amplitude = 1;
Tracker *tracker = new Tracker(nb_time_steps, nb_locations);
}
tracker->build_graph();
- // {
- // ofstream out("graph.dot");
- // tracker->print_dot_graph(&out);
- // }
for(int r = 0; r < 10; r++) {
cout << "* ROUND " << r << endl;
+ // We generate synthetic detection scores at location
+ // nb_locations/2, with 10% false detection (FP or FN)
+
for(int t = 0; t < nb_time_steps; t++) {
for(int l = 0; l < nb_locations; l++) {
- tracker->set_detection_score(t, l,
- (drand48() < 0.95 ? -1.0 : 1.0) + drand48() * 0.1 - 0.05);
+ tracker->set_detection_score(t, l, detection_score(-1, 0.9));
}
- tracker->set_detection_score(t, nb_locations/2,
- (drand48() < 0.95 ? 1.0 : -1.0) + drand48() * 0.1 - 0.05);
+ tracker->set_detection_score(t, nb_locations/2, detection_score(1, 0.9));
}
tracker->track();
for(int t = 0; t < tracker->nb_trajectories(); t++) {
- cout << "TRAJECTORY " << t << " :";
+ cout << "TRAJECTORY "
+ << t
+ << " [starting " << tracker->trajectory_entrance_time(t) << "]";
for(int u = 0; u < tracker->trajectory_duration(t); u++) {
cout << " " << tracker->trajectory_location(t, u);
}