A Realization of Face Detection System Based on ARM Linux

Cong Ting Zhao; Hong Yun Wang; Jia Wei Li; Zi Lu Ying

doi:10.4028/www.scientific.net/AMM.333-335.864

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335A Realization of Face Detection System Based on...

A Realization of Face Detection System Based on ARM Linux

Abstract:

In order to adapt to the requirements of intelligent video monitoring system, this paper presents an ARM-Linux based video monitoring system for face detection. In this system, an ARM processor with a Linux operating system was used, and the USB camera was used to capture data, and then the face detection was conducted in the ARM device. The OpenCV library was transplanted to Linux embedded system. The algorithm of face detection was realized by calling the OpenCV library. Specially, adaboost algorithm was chose as the face detection algorithm. Experimental results show that the face detection effect of the system is satisfactory and can meet the real time requirement of video surveillance.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

864-867

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.864

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Online since:

July 2013

Authors:

Cong Ting Zhao, Hong Yun Wang, Jia Wei Li, Zi Lu Ying

Keywords:

Adaboost, ARM-Linux, Face Detection, OpenCV

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