Recurrent Attention Models for Depth-Based Person Identification

CVPR, 2016.

Cited by: 97|Bibtex|Views15
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We present an attention-based model that reasons on human body shape and motion dynamics to identify individuals in the absence of RGB information, hence in the dark. Our approach leverages unique 4D spatio-temporal signatures to address the identification problem across days. Formulated as a reinforcement learning task, our model is base...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments