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Proceedings Paper

Assessment of H.264 video compression on automated face recognition performance in surveillance and mobile video scenarios
Author(s): Brendan Klare; Mark Burge
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Paper Abstract

We assess the impact of the H.264 video codec on the match performance of automated face recognition in surveillance and mobile video applications. A set of two hundred access control (90 pixel inter-pupilary distance) and distance surveillance (45 pixel inter-pupilary distance) videos taken under non-ideal imaging and facial recognition (e.g., pose, illumination, and expression) conditions were matched using two commercial face recognition engines in the studies. The first study evaluated automated face recognition performance on access control and distance surveillance videos at CIF and VGA resolutions using the H.264 baseline profile at nine bitrates rates ranging from 8kbs to 2048kbs. In our experiments, video signals were able to be compressed up to 128kbs before a significant drop face recognition performance occurred. The second study evaluated automated face recognition on mobile devices at QCIF, iPhone, and Android resolutions for each of the H.264 PDA profiles. Rank one match performance, cumulative match scores, and failure to enroll rates are reported.

Paper Details

Date Published: 14 April 2010
PDF: 8 pages
Proc. SPIE 7667, Biometric Technology for Human Identification VII, 76670X (14 April 2010); doi: 10.1117/12.851349
Show Author Affiliations
Brendan Klare, Michigan State Univ. (United States)
Mark Burge, Noblis, Inc. (United States)

Published in SPIE Proceedings Vol. 7667:
Biometric Technology for Human Identification VII
B. V. K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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