Real-time implementation of robust face detection on mobile platforms

  • Authors:
  • M. Rahman;Jianfeng Ren;N. Kehtarnavaz

  • Affiliations:
  • Department of Electrical Engineering, University of Texas at Dallas, USA;Department of Electrical Engineering, University of Texas at Dallas, USA;Department of Electrical Engineering, University of Texas at Dallas, USA

  • Venue:
  • ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year:
  • 2009

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Abstract

Although many face detection algorithms have been introduced in the literature, only a handful of them can meet the real-time constraints of mobile devices. This paper presents the real-time implementation of our previously introduced face detection algorithm on a mobile device. The steps taken to achieve such a real-time implementation are discussed. Real-time comparison results with the widely used Viola-Jones face detection algorithm in terms of detection rate and processing speed are presented to demonstrate the robustness of our real-time solution.