Design and implementation of a surveillance camera system with face recognition functionality

Author

Hu, Roland ; Jing Zhang ; Huimin Yu ; Yunhai Liu

Author_Institution

Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China

fYear

2014

Firstpage

1

Lastpage

2

Abstract

In this paper, we present a surveillance camera system with face recognition functionality. The face detection algorithm is based on AdaBoost and Haar-like features, as proposed in [1]. The recognition process is an extension of the Local Binary Pattern (LBP) algorithm which we have proposed in [2]. The system utilizes a digital signal processor (DSP) to implement the detection and recognition algorithms. An ARM processor is also used to provide network layer interfaces to connect the system with computers and other digital devices. Thus, we have built a low-cost, time-efficient and accurate face recognition system for surveillance cameras.

Keywords

Haar transforms; digital signal processing chips; face recognition; feature extraction; learning (artificial intelligence); network interfaces; object detection; reduced instruction set computing; video cameras; video surveillance; ARM processor; AdaBoost; DSP; Haar-like feature; LBP algorithm; digital signal processor; face detection algorithm; face recognition functionality; local binary pattern; network layer interface; surveillance camera system; CMOS integrated circuits; Face; Irrigation; Lighting; Process control; Digital Signal Processor (DSP); Face detection; Face recognition; Local Binary Patterns (LBP);

fLanguage

English

Publisher

ieee

Conference_Titel

Electron Devices and Solid-State Circuits (EDSSC), 2014 IEEE International Conference on

Type

conf

DOI

10.1109/EDSSC.2014.7061234

Filename

7061234