Implementation of Face Detection Based on AdaBoost Algorithm in Embedded System

doi:10.3969/j.issn.1006-2475.2010.08.040

Computer and Modernization ›› 2010, Vol. 1 ›› Issue (8): 143-146.doi: 10.3969/j.issn.1006-2475.2010.08.040

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Implementation of Face Detection Based on AdaBoost Algorithm in Embedded System

LI Xian-feng¹， HUA Xiao-peng¹， ZHAO Feng²， KONG Ling-dong¹

1.School of Information Engineering, Yancheng Institute of Technolog, Yancheng 224051, China;2.School of Microelectronics, Shanghai Jiaotong University, Shanghai 200240, China

Received:2010-03-20 Revised:1900-01-01 Online:2010-08-27 Published:2010-08-27

Abstract

Abstract: To solve the technical problem of realtime face detection and break through the bottleneck of AdaBoost algorithm, a hardware acceleration strategy based on FPGA is used to calculate the integral squared image by pipeline architecture. The system can detect a face in 352×288 image at a speed of 50 fps on PowerPC405 VirtexTMII Pro FPGA platform, and achieve a detection rate of 98% with a false alarm rate of 1%, so it can meet the requirements of realtime face detection.

Key words: face detection, AdaBoost algorithm, hardware acceleration, FieldProgrammable Gate Array（FPGA）

LI Xian-feng;HUA Xiao-peng;ZHAO Feng;KONG Ling-dong. Implementation of Face Detection Based on AdaBoost Algorithm in Embedded System[J]. Computer and Modernization, 2010, 1(8): 143-146.

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Implementation of Face Detection Based on AdaBoost Algorithm in Embedded System

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