A Real-Time Object Recognition System on Cell Broadband Engine

  • Hiroki Sugano
  • Ryusuke Miyamoto
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4872)

Abstract

Accurate object recognition based on image processing is required in embedded applications, where real-time processing is expected to incorporate accurate recognition. To achieve accurate real-time object recognition, an accurate recognition algorithm that can be quickened by parallel implementation and a processing system that can execute such algorithms in real-time are necessary. In this paper, we implemented an accurate recognition scheme in parallel that consists of boosting-based detection and histogram-based tracking on a Cell Broadband Engine (Cell), one of the latest high performance embedded processors. We show that the Cell can achieve real-time object recognition on QVGA video at 22 fps with three targets and 18 fps with eight targets . Furthermore, we constructed a real-time object recognition system using SONY® Playstation 3, one of the most widely used Cell platforms, and demonstrated face recognition with it.

Keywords

Object recognition Cell Broadband Engine Real-time processing Parallel implementation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Hiroki Sugano
    • 1
  • Ryusuke Miyamoto
    • 2
  1. 1.Dept. of Communications and Computer Engineering, Kyoto University, Yoshida-hon-machi, Sakyo, Kyoto, 606-8501Japan
  2. 2.Dept. of Information Systems, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Nara, 630-0192Japan

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