On using high-definition body worn cameras for face recognition from a distance

  • Authors:
  • Wasseem Al-Obaydy;Harin Sellahewa

  • Affiliations:
  • Department of Applied Computing, University of Buckingham, Buckingham, UK;Department of Applied Computing, University of Buckingham, Buckingham, UK

  • Venue:
  • BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
  • Year:
  • 2011

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Abstract

Recognition of human faces from a distance is highly desirable for law-enforcement. This paper 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 20 subjects were acquired in different conditions and at varying distances. The evaluation uses three benchmark algorithms: 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, compared to SD video. This scenario resembles real-life conditions of video surveillance and law-enforcement 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.