The following Matlab project contains the source code and Matlab examples used for the gaussian mixture particle algorithm for dynamic cluster tracking.
The algorithms coded in this file are proposed in
Carmi, Septier and Godsill, "The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking", Automatica
Volume 48, Issue 10, October 2012, Pages 2454-2467
Main file is "run_test.
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
Project Files:
| File Name | Size |
|---|---|
| license.txt | 1306 |
| 2agents.fig | 11370 |
| causality_detection_kf.asv | 2321 |
| causality_detection_kf.m | 1301 |
| causality_detection_kf_biased.m | 1335 |
| cause_dynamic.m | 5525 |
| cause_dynamic_elimination.asv | 5488 |
| cause_dynamic_elimination.m | 5538 |
| cause_dynamic_elimination1.asv | 4004 |
| cause_dynamic_elimination1.m | 4028 |
| cause_dynamic_elimination1_varying.m | 4041 |
| cause_dynamic_elimination_varying.m | 5556 |
| compute_estimates.m | 1034 |
| compute_stats.asv | 1110 |
| compute_stats.m | 1568 |
| est_errors.fig | 10711 |
| fg1.fig | 1261 |
| Gibbs_refinement.m | 7218 |
| hausdorf_distance.m | 756 |
| init_particles.m | 546 |
| kmeans_clusters.m | 634 |
| MCMC_particles.m | 4764 |
| mcrun1.mat | 80905 |
| mcrun10.mat | 90902 |
| mcrun11.mat | 111757 |
| mcrun1_1.mat | 82358 |
| mcrun1_10.mat | 162796 |
| mcrun1_11.mat | 321909 |
| mcrun1_12.mat | 246989 |
| mcrun1_13.mat | 291111 |
| mcrun1_14.mat | 170275 |
| mcrun1_15.mat | 280016 |
| mcrun1_16.mat | 223126 |
| mcrun1_17.mat | 190761 |
| mcrun1_18.mat | 282565 |
| mcrun1_2.mat | 162962 |
| mcrun1_3.mat | 184503 |
| mcrun1_4.mat | 200594 |
| mcrun1_5.mat | 285280 |
| mcrun1_6.mat | 353251 |
| mcrun1_7.mat | 149087 |
| mcrun1_8.mat | 332836 |
| mcrun1_9.mat | 194452 |
| mcrun2.mat | 98505 |
| mcrun2_1.mat | 207542 |
| mcrun2_10.mat | 280835 |
| mcrun2_11.mat | 346462 |
| mcrun2_12.mat | 241209 |
| mcrun2_13.mat | 142160 |
| mcrun2_14.mat | 213354 |
| mcrun2_15.mat | 225388 |
| mcrun2_16.mat | 260543 |
| mcrun2_17.mat | 342743 |
| mcrun2_2.mat | 314766 |
| mcrun2_3.mat | 351543 |
| mcrun2_4.mat | 235383 |
| mcrun2_5.mat | 258397 |
| mcrun2_6.mat | 256488 |
| mcrun2_7.mat | 353266 |
| mcrun2_8.mat | 200406 |
| mcrun2_9.mat | 319006 |
| mcrun3.mat | 101238 |
| mcrun31_1.mat | 150634 |
| mcrun31_2.mat | 202225 |
| mcrun31_3.mat | 185406 |
| mcrun31_4.mat | 197791 |
| mcrun31_5.mat | 139662 |
| mcrun31_6.mat | 154645 |
| mcrun3_1.mat | 134420 |
| mcrun3_2.mat | 127330 |
| mcrun3_3.mat | 114763 |
| mcrun3_4.mat | 154053 |
| mcrun3_5.mat | 171094 |
| mcrun3_6.mat | 149638 |
| mcrun3_7.mat | 174669 |
| mcrun4.mat | 108941 |
| mcrun5.mat | 110669 |
| mcrun6.mat | 125807 |
| mcrun7.mat | 111714 |
| mcrun8.mat | 106897 |
| mcrun9.mat | 106313 |
| mcruns.m | 142 |
| mcruns_varying.m | 150 |
| mean_tci.fig | 11652 |
| plot_observations.m | 590 |
| produce_cluster_tracks.m | 1325 |
| produce_observations.m | 658 |
| propagate_particles.m | 2175 |
| remove_duplicates.m | 432 |
| run1.mat | 131582 |
| run2.mat | 164836 |
| run_test.asv | 10806 |
| run_test.m | 11159 |
| run_test_varying.asv | 11404 |
| run_test_varying.m | 11410 |
| simulate_flocks_local_interactions.asv | 3639 |
| simulate_flocks_local_interactions.m | 3670 |
| simulate_flocks_local_interactions_varying.asv | 4039 |
| simulate_flocks_local_interactions_varying.m | 4052 |
| sort_ref.asv | 875 |
| sort_ref.m | 884 |
| test.fig | 1423 |
| test1.asv | 257 |
| test1.m | 549 |
| trun.mat | 495274 |
