TY  - CONF
AU  - Albert Clapes
AU  - Miguel Reyes
AU  - Sergio Escalera
A2  - AMDO
PY  - 2012//
TI  - User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis
T2  - LNCS
BT  - 7th Conference on Articulated Motion and Deformable Objects
SP  - 1
EP  - 11
VL  - 7378
PB  - Springer Berlin Heidelberg
N2  - We propose an automatic system for user identification and object recognition based on multi-modal RGB-Depth data analysis. We model a RGBD environment learning a pixel-based background Gaussian distribution. Then, user and object candidate regions are detected and recognized online using robust statistical approaches over RGBD descriptions. Finally, the system saves the historic of user-object assignments, being specially useful for surveillance scenarios. The system has been evaluated on a novel data set containing different indoor/outdoor scenarios, objects, and users, showing accurate recognition and better performance than standard state-of-the-art approaches.
SN  - 0302-9743
SN  - 978-3-642-31566-4
L1  - http://158.109.8.37/files/CRE2012.pdf
UR  - http://dx.doi.org/10.1007/978-3-642-31567-1_1
N1  - HUPBA;MILAB
ID  - Albert Clapes2012
ER  -