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\iteman{io-port 05986410}
\itemau{Hossain, Emdad; Chetty, Girija}
\itemti{Multimodal identity verification based on learning face and gait cues.}
\itemso{Lu, Bao-Liang (ed.) et al., Neural information processing. 18th international conference, ICONIP 2011, Shanghai, China, November 13--17, 2011. Proceedings, Part III. Berlin: Springer (ISBN 978-3-642-24964-8/pbk). Lecture Notes in Computer Science 7064, 1-8 (2011).}
\itemab
Summary: In this paper we propose a novel multimodal Bayesian approach based on PCA-LDA processing for person identification from low resolution surveillance video with cues extracted from gait and face biometrics. The experimental evaluation of the proposed scheme on a publicly available database [2] showed that the combined PCA-LDA face and gait features can lead to powerful identity verification and can capture the inherent multimodality in walking gait patterns and discriminate the identity from low resolution surveillance videos.
\itemrv{~}
\itemcc{}
\itemut{biometric; gait recognition; PCA; LDA; Bayesian; k-NN}
\itemli{doi:10.1007/978-3-642-24965-5\_1}
\end