GitHub - meshgi/RGBD_Particle_Filter_Tracker: Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information: Multiple Object Tracking under Occlusion

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Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information: Multiple Object Tracking under Occlusion

GPL-2.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
bb		bb
bkg		bkg
distance		distance
eval		eval
feature		feature
mu		mu
tracker		tracker
util		util
vis		vis
.gitattributes		.gitattributes
.gitignore		.gitignore
LICENSE		LICENSE
README		README
RUNME.m		RUNME.m
RUNME_param_tune.m		RUNME_param_tune.m
VERSION		VERSION
VISION		VISION
tracker_history.m		tracker_history.m
trackers_evaluate.m		trackers_evaluate.m
trackers_initialize.m		trackers_initialize.m
trackers_output.m		trackers_output.m
trackers_test.m		trackers_test.m
trackers_train.m		trackers_train.m

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Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information: Multiple Object Tracking under Occlusion

Code by:
Kourosh Meshgi
PhD Student @ Kyoto University

Initiated:
July 2013

Publication:
1. K. Meshgi, Y. Li, S. Oba, S. Maeda, S. Ishii, "Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information: Object Tracking under Occlusion," in IEICE Tech. Rep., vol. 113, no. 197, IBISML2013-22, pp. 85-91, Sept. 2013

2. Language 
Matlab

Contact:
kouroshmeshgi@gmail.com

More Information:
http://hawaii.sys.i.kyoto-u.ac.jp/~meshgi-k/