We propose a new approach for multi-view gait recognition.
The method is based on the analysis of 3D reconstructions of gait sequences.
A new rotation invariant gait descriptor, based on 3D angular analysis is proposed.
Experimental results demonstrate the effectiveness on unconstrained paths.
The system can correctly identify about 99% of individuals on two public datasets.