Real-time activity identification in a smart FBG-based fiber-optic perimeter intrusion detection system

Huijuan Wu; Xianglin Lu; Shanshan Li; Yu Wu; Yunjiang Rao

doi:10.1117/12.975249

17 October 2012 Real-time activity identification in a smart FBG-based fiber-optic perimeter intrusion detection system

Huijuan Wu, Xianglin Lu, Shanshan Li, Yu Wu, Yunjiang Rao

Proceedings Volume 8421, OFS2012 22nd International Conference on Optical Fiber Sensors; 84215B (2012) https://doi.org/10.1117/12.975249
Event: OFS2012 22nd International Conference on Optical Fiber Sensor, 2012, Beijing, China

Abstract

Activity identification is very important in a Perimeter Intrusion Detection System (PIDS). In this paper, an intelligent FBG-based fiber-optic PIDS is presented, which can distinguish effects of different intrusion activities. The intrusion identification method is proposed based on the Principal Component Analysis (PCA) to tell the essential dissimilarity of the statistical characteristics of intrusion signal's modalities in the time domain. The experimental results show the recognition rate can be as high as 96.52% for eight types of common intrusion events.

Citation Download Citation

Huijuan Wu, Xianglin Lu, Shanshan Li, Yu Wu, and Yunjiang Rao "Real-time activity identification in a smart FBG-based fiber-optic perimeter intrusion detection system", Proc. SPIE 8421, OFS2012 22nd International Conference on Optical Fiber Sensors, 84215B (17 October 2012); https://doi.org/10.1117/12.975249

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available