Personal Access Control System Using Moving Object Detection and Face Recognition

被引：0

作者：

Zeljkovic, Vesna ^{[1
]}

Zhang, Du ^{[1
]}

Valev, Ventzeslav ^{[2
]}

Zhang, Zhongyu ^{[1
]}

Zhu, Shengjie ^{[1
]}

Li, Junjie ^{[1
]}

机构：

[1] New York Inst Technol, Sch Engn & Comp Sci, New York, NY 10023 USA

[2] Univ N Florida, Sch Comp, Jacksonville, FL 32224 USA

来源：

2014 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS) | 2014年

关键词：

Moving Object Detection; Moving Object Tracking; Face Recognition; Image Processing;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：662 / 669

页数：8

共 25 条

[1]

[Anonymous], P 21 SIGN PROC COMM

[2] GPU-based Implementation of an Optimized Nonparametric Background Modeling for Real-time Moving Object Detection [J].

Berjon, Daniel ;

Cuevas, Carlos ;

Moran, Francisco ;

Garcia, Narciso .

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2013, 59 (02) :361-369

[3] Efficient face recognition with variant pose and illumination in video [J].

Dai, Yi ;

Xiao, Guoqiang ;

Qiu, Kaijin .

ICCSSE 2009: PROCEEDINGS OF 2009 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, 2009, :18-22

[4] Independent comparative study of PCA, ICA, and LDA on the FERET data set [J].

Delac, K ;

Grgic, M ;

Grgic, S .

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2005, 15 (05) :252-260

[5] Highly Accurate Moving Object Detection in Variable Bit Rate Video-Based Traffic Monitoring Systems [J].

Huang, Shih-Chia ;

Chen, Bo-Hao .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 24 (12) :1920-1931

[6]

Jozef B, 2013, 2013 IEEE EUROCON, P2072, DOI 10.1109/EUROCON.2013.6625266

[7] Face Recognition Performance: Role of Demographic Information [J].

Klare, Brendan F. ;

Burge, Mark J. ;

Klontz, Joshua C. ;

Bruegge, Richard W. Vorder ;

Jain, Anil K. .

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2012, 7 (06) :1789-1801

[8]

KRISHNA MTG, 2012, 12 INT C INT SYST DE, P568

[9] Illumination invariant face recognition using near-infrared images [J].

Li, Stan Z. ;

Chu, RuFeng ;

Liao, ShengCai ;

Zhang, Lun .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2007, 29 (04) :627-639

[10] Effective Moving Object Detection and Retrieval via Integrating Spatial-Temporal Multimedia Information [J].

Liu, Dianting ;

Shyu, Mei-Ling .

2012 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM), 2012, :364-371

← 1 2 3 →