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5 CONCLUSIONS
In this paper we have proposed a novel approach
based on fusion of supervised and unsupervised learn-
ing algorithm using Dempster-Shafer theory in defin-
ing the final decision metric of human identification.
Results indicate that the combination of our proposed
fusion algorithm outperforms existing framework of
person identification in real time. As a future work,
we would be experimenting on gait independent fea-
tures, which would further improve the robustness of
the system by getting rid of gait boundary detection,
as well as remove the constraint on the side walk.
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