/RGBD_Particle_Filter_Tracker

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

Primary LanguageMatlabGNU General Public License v2.0GPL-2.0

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/