IEICE TRANSACTIONS on Information
A High Speed Reconfigurable Face Detection Architecture Based on AdaBoost Cascade Algorithm
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E95-D No.2 pp.383-391
- Publication Date
- 2012/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E95.D.383
- Type of Manuscript
- Special Section PAPER (Special Section on Reconfigurable Systems)
- Category
- Application
Authors
Keyword
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Weina ZHOU, Lin DAI, Yao ZOU, Xiaoyang ZENG, Jun HAN, "A High Speed Reconfigurable Face Detection Architecture Based on AdaBoost Cascade Algorithm" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 2, pp. 383-391, February 2012, doi: 10.1587/transinf.E95.D.383.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.383/_p
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@ARTICLE{e95-d_2_383,
author={Weina ZHOU, Lin DAI, Yao ZOU, Xiaoyang ZENG, Jun HAN, },
journal={IEICE TRANSACTIONS on Information},
title={A High Speed Reconfigurable Face Detection Architecture Based on AdaBoost Cascade Algorithm},
year={2012},
volume={E95-D},
number={2},
pages={383-391},
abstract={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.},
keywords={},
doi={10.1587/transinf.E95.D.383},
ISSN={1745-1361},
month={February},}
Copy
TY - JOUR
TI - A High Speed Reconfigurable Face Detection Architecture Based on AdaBoost Cascade Algorithm
T2 - IEICE TRANSACTIONS on Information
SP - 383
EP - 391
AU - Weina ZHOU
AU - Lin DAI
AU - Yao ZOU
AU - Xiaoyang ZENG
AU - Jun HAN
PY - 2012
DO - 10.1587/transinf.E95.D.383
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2012
AB - 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.
ER -
English
