// Multi-Tracked Path
-// Takes the graph description file as input and produces a dot file.
-
-// EXAMPLE: ./mtp ./graph2.txt | dot -T pdf -o- | xpdf -
-
#include <iostream>
#include <fstream>
-#include <stdlib.h>
using namespace std;
//////////////////////////////////////////////////////////////////////
-scalar_t detection_score(int true_label) {
- if((true_label > 0) == (drand48() < 0.9)) {
- return 1.0 + 0.2 * (drand48() - 0.5);
+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 - 1.0 + 0.2 * (drand48() - 0.5);
+ return b + score_noise * (2.0 * drand48() - 1.0);
}
}
int main(int argc, char **argv) {
- int nb_locations = 5;
- int nb_time_steps = 20;
+ int nb_locations = 7;
+ int nb_time_steps = 8;
int motion_amplitude = 1;
Tracker *tracker = new Tracker(nb_time_steps, nb_locations);
for(int l = 0; l < nb_locations; l++) {
for(int k = 0; k < nb_locations; k++) {
- tracker->set_allowed_motion(l, k, abs(l - k) <= motion_amplitude);
+ tracker->allowed_motion[l][k] = abs(l - k) <= motion_amplitude;
}
- tracker->set_as_exit(0, 1);
- tracker->set_as_entrance(0, 1);
+ tracker->entrances[0] = 1;
+ tracker->exits[nb_locations - 1] = 1;
}
tracker->build_graph();
- for(int r = 0; r < 10; r++) {
- cout << "* ROUND " << r << endl;
+ // We generate synthetic detection scores at location
+ // nb_locations/2, with 5% false detection (FP or FN)
+
+ scalar_t flip_noise = 0.01;
+ scalar_t score_noise = 0.0;
- // We generate synthetic detection scores, all in the center
- // location, 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->detection_score[t][l] = detection_score(-1.0, 1.0, score_noise, flip_noise);
+ }
+ }
- for(int t = 0; t < nb_time_steps; t++) {
- for(int l = 0; l < nb_locations; l++) {
- tracker->set_detection_score(t, l, detection_score(-1));
- }
- tracker->set_detection_score(t, nb_locations/2, detection_score(1));
+ // for(int t = 0; t < nb_time_steps; t++) {
+ // tracker->detection_score[t][nb_locations/2] = detection_score(1, score_noise, flip_noise);
+ // }
+
+ // Puts two target with the typical local minimum
+
+ int la, lb;
+ scalar_t sa, sb;
+ for(int t = 0; t < nb_time_steps; t++) {
+ // Target a moves from location 0 to the middle and comes back,
+ // and is strongly detected on the first half, target b moves from
+ // location nb_locations-1 to the middle and comes back, and is
+ // strongly detected on the second half
+ 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);
}
- tracker->track();
+ if(la > nb_locations/2 - 1) la = nb_locations/2 - 1;
+ if(lb < nb_locations/2 + 1) lb = nb_locations/2 + 1;
- for(int t = 0; t < tracker->nb_trajectories(); 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);
- }
- cout << endl;
+ tracker->detection_score[t][la] = sa;
+ tracker->detection_score[t][lb] = sb;
+ }
+
+ tracker->track();
+
+ 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;
+ }
+
+ {
+ ofstream dot("graph.dot");
+ tracker->print_graph_dot(&dot);
+ cout << "Wrote graph.dot." << endl;
}
delete tracker;