The gaussian mixture particle algorithm for dynamic cluster tracking in matlab

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 NameSize
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

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