DocumentCode :
3378544
Title :
Implementation and optimization of embedded Face Detection system
Author :
Aby, P.K. ; Jose, Anphy ; Dinu, L.D. ; John, Jomy ; Sabarinath, G.
Author_Institution :
Dept. of Electron. & Commun., SJCET Palai, Kottayam, India
fYear :
2011
fDate :
21-22 July 2011
Firstpage :
250
Lastpage :
253
Abstract :
Computer vision applications in the real time perspective has to meet several performance requirements but can be restrained by computing resources. To attain real time performance particularly on mobile platforms we need to apply optimized algorithms. This paper presents work on performance optimization of general computer vision algorithms such as Viola Jones Face Detection on embedded systems with limited resources. The Viola Jones algorithm which is popular for face detection, can be implemented on mobile platforms. The algorithms are benchmarked on the Intel processor and BeagleBoard xM, which is a new low-cost low-power platform based on the Texas Instruments (TI) DM 3730 processor architecture. The DM 3730 processor is characterized by the presence of an asymmetric dual-core architecture, which including an ARM and a DSP along with a shared memory between them. OpenCV, which is a famous open source computer vision library developed by Intel corporation was utilized for some of the algorithms. Comparative results for the different platforms are introduced and analyzed with an emphasis on real-time Application.
Keywords :
computer vision; digital signal processing chips; embedded systems; face recognition; microprocessor chips; ARM processor; BeagleBoard xM; Intel processor; OpenCV library; Texas Instruments DM 3730 processor architecture; Viola Jones face detection; asymmetric dual-core architecture; computer vision application; digital signal processor; embedded face detection system; mobile platform; Digital signal processing; Face detection; Libraries; Mobile communication; Real time systems; Signal processing algorithms; Face detection; OMAP; beagleboard; dsp; opencv; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on
Conference_Location :
Thuckafay
Print_ISBN :
978-1-61284-654-5
Type :
conf
DOI :
10.1109/ICSCCN.2011.6024553
Filename :
6024553
Link To Document :
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