Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information: Multiple Object Tracking under Occlusion
License: GNU General Public License v2.0
MATLAB 98.22%Objective-C 0.28%M 1.50%
rgbd_particle_filter_tracker's Introduction
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:
[email protected]
More Information:
http://hawaii.sys.i.kyoto-u.ac.jp/~meshgi-k/