Personal access control system using moving object detection and face recognition

Author

Zeljkovic, Vesna ; Du Zhang ; Valev, Ventzeslav ; Zhongyu Zhang ; Shengjie Zhu ; Junjie Li

Author_Institution

Sch. of Eng. & Comput. Sci., New York Inst. of Technol., Nanjing, China

fYear

2014

fDate

21-25 July 2014

Firstpage

662

Lastpage

669

Abstract

Real time automated personal access control system is proposed in order to detect the moving objects, localize, extract and recognize their faces in real image sequence. The described method encompasses two important issues in personal access control system that receives increased attention over years: moving object detection and face recognition. It is tested on personal access controlled area video testing. The efficiency of the described system is illustrated on four real world interior video sequences recorded in indoor/outdoor mixed environment with slight illumination changes.

Keywords

authorisation; face recognition; feature extraction; image motion analysis; image sequences; object detection; video signal processing; face extraction; face localization; face recognition; illumination change; indoor-outdoor mixed video environment; moving object detection; personal access control system; video sequences; video testing; Access control; Face; Face recognition; Feature extraction; Lighting; Object detection; Streaming media; Face Recognition; Image Processing; Moving Object Detection; Moving Object Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

High Performance Computing & Simulation (HPCS), 2014 International Conference on

Conference_Location

Bologna

Print_ISBN

978-1-4799-5312-7

Type

conf

DOI

10.1109/HPCSim.2014.6903751

Filename

6903751