Wasseem Al-Obaydy
Harin Sellahewa
Department of Applied Computing, University of Buckingham
www.buckingham.ac.uk

Recognition of human faces from a distance is highly desirable for law-enforcement. This paper below evaluates the use of low-cost, high definition (HD) body worn video cameras for face recognition from a distance. A comparison of HD vs Standard-definition (SD) video for face recognition from a distance is presented. HD and SD videos of twenty subjects were acquired in different conditions and at varying distances. The evaluation uses three benchmark algoriithms: Eigenfaces, Fisherfaces and Wavelet Transforms. The study indicates when gallery and probe images consist of faces captured from a distance, HD video result in better recognition accuracy, compare to SD video. This scenario resembles real-life conditions of video surveillance and law-enformcement activities. However, at a close range, face data obtained from SD video result in similar, if not better recognition accuracy than using HD face data of the same range.

The Study
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