Assessment of H.264 video compression on automated face recognition performance in surveillance and mobile video scenarios

Brendan Klare; Mark Burge

doi:10.1117/12.851349

14 April 2010 Assessment of H.264 video compression on automated face recognition performance in surveillance and mobile video scenarios

Brendan Klare, Mark Burge

Author Affiliations +

Proceedings Volume 7667, Biometric Technology for Human Identification VII; 76670X (2010) https://doi.org/10.1117/12.851349
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Brendan Klare and Mark Burge "Assessment of H.264 video compression on automated face recognition performance in surveillance and mobile video scenarios", Proc. SPIE 7667, Biometric Technology for Human Identification VII, 76670X (14 April 2010); https://doi.org/10.1117/12.851349

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