Volume-based Human Re-identification with RGB-D Cameras

Claudio Coppola
Claudio Coppola

VISIGRAPP (4: VISAPP), pp. 389-397, 2017.

Cited by: 3|Bibtex|Views18
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

This paper presents an RGB-D based human re-identification approach using novel biometrics features from the bodyu0027s volume. Existing work based on RGB images or skeleton features have some limitations for real-world robotic applications, most notably in dealing with occlusions and orientation of the user. Here, we propose novel featur...More

Code:

Data:

Your rating :
0

 

Tags
Comments