Square patch feature based face detection architecture for high resolution smart camera

Mohd Mustafah, Yasir and Bigdeli, Abbas and Azman, Amelia Wong and Lovell, Brian (2010) Square patch feature based face detection architecture for high resolution smart camera. In: 4th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2010, 31th Aug-4th Sep 2010, Atlanta, GA; United States.

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Abstract

Recognizing faces in a crowd in real-time is a key feature which would significantly enhance Intelligent Surveillance Systems. Previously we proposed a high resolution smart camera system that can be used for crowd surveillance. The challenge is with the increasing speed and resolution of the image sensors, a fast and robust face detection system is required for real time operation. In this paper, we proposed a face detection architecture that is suitable to be implemented on a smart camera system. The face detection algorithm is based on a new weak classifier type that we called square patch feature. The targeted platform is a low cost Spartan-3 FPGA. From The simulation result shows that the proposed face detection architecture could speed up the equivalent software based face detector up to 12 times. Parallelizing the feature classification modules could improve the performance further.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	5107/28298
Uncontrolled Keywords:	Crowd surveillance; Face Detection; Face detection algorithm; Face detection system; Face detector; Feature classification; Feature-based; High resolution; Intelligent surveillance systems; Key feature; Low costs; Parallelizing; Real-time operation; Simulation result; Smart cameras; Software-based; Spartan-3; Speed-ups; Weak classifiers
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Dr Yasir Mohd Mustafah
Date Deposited:	27 Jun 2013 10:12
Last Modified:	27 Jun 2013 10:12
URI:	http://irep.iium.edu.my/id/eprint/28298

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