NDLI: A novel framework for fast embedded face detection system

Content Provider	IEEE Xplore Digital Library
Author	Jian Xiao Gugang Gao Chen Hu Haidong Feng
Copyright Year	2007
Description	Author affiliation: Southeast Univ., Nanjing (Jian Xiao; Gugang Gao; Chen Hu)
Abstract	In this paper, we propose a novel design for one fast embedded face detection system, which can be applied in many real-time applications, such as teleconferencing, user interfaces, and security access control. Our framework includes 3 parts: one fast face detection method based on optimized AdaBoost algorithm with high speed and high detection rate, one SOC hardware framework to speed up detection operations and one software distribution strategy to optimize the memory sub-system. In embedded system domain, face detection is a great challenge because of its limited hardware source and low frequency. Our system prototype is built on the base of one SOC named 'Garfield' to test our design. Experimental results illuminate the validity of our face detection system.
Starting Page	32
Ending Page	35
File Size	116909
Page Count	4
File Format	PDF
ISBN	9781424411313
DOI	10.1109/ICASIC.2007.4415560
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face detection Optimization methods Hardware Real time systems Application software Teleconferencing User interfaces Security Access control Software algorithms
Content Type	Text
Resource Type	Article

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