A High Speed Reconfigurable Face Detection Architecture Based on AdaBoost Cascade Algorithm

Weina ZHOU  Lin DAI  Yao ZOU  Xiaoyang ZENG  Jun HAN  

IEICE TRANSACTIONS on Information and Systems   Vol.E95-D   No.2   pp.383-391
Publication Date: 2012/02/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E95.D.383
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Section on Reconfigurable Systems)
Category: Application
face detection,  reconfigurable,  user adjustable,  AdaBoost,  

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Face detection has been an independent technology playing an important role in more and more fields, which makes it necessary and urgent to have its architecture reconfigurable to meet different demands on detection capabilities. This paper proposed a face detection architecture, which could be adjusted by the user according to the background, the sensor resolution, the detection accuracy and speed in different situations. This user adjustable mode makes the reconfiguration simple and efficient, and is especially suitable for portable mobile terminals whose working condition often changes frequently. In addition, this architecture could work as an accelerator to constitute a larger and more powerful system integrated with other functional modules. Experimental results show that the reconfiguration of the architecture is very reasonable in face detection and synthesized report also indicates its advantage on little consumption of area and power.