中文

Journal of Applied Sciences ›› 2012, Vol. 30 ›› Issue (3): 299-305.doi: 10.3969/j.issn.0255-8297.2012.03.014

• Electronic Engineering • Previous Articles     Next Articles

Dynamical Coarse-Grained Partially Reconfigurable Face Detection

XIAO Jian1;3, LIU Bo1, MEI Chen1, ZHU Min2, YANG Jun1, LIU Lei-bo2, WEI Shao-jun2   

  1. 1. National ASIC System Engineering Research Center, Southeast University, Nanjing 210096, China
    2. School of Information Science and Technology, Tsinghua University, Beijing 100084, China
    3. College of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications,
    Nanjing 210046, China
  • Received:2011-06-08 Revised:2011-08-02 Online:2012-05-30 Published:2012-05-30

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Abstract:

Face detection system needs to meet a variety of constraints in embedded environments, but the high computational/control intensive features make the real-time implementation difficult. This paper presents a face detection system based on a dynamical coarse-grained partially reconfigurable platform called “REMUSII”. The cascade AdaBoost-based detection algorithm is divided into several non-consecutive sub-tasks. Mailbox
scheduling, configuration flow and data flow optimization methods improve the instruction-level and task-level parallelism. Experiment results show that this approach with a 200 MHz clock can process about 17 frames per second on 640£480 images. Its detection rate is over 95%. The system consumes about 194 mW, and its area is about 24 mm2 in TSMC’s 65 nm logic process.

Key words: coarse-grained reconfigurable, dynamical, face detection, AdaBoost

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