//////////////////////////////////////////////////////////////////////
-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