A multiple events recognition scheme based on improved feature vectors for fiber optic perimeter security system

Zhenshi Sun; Kun Liu; Junfeng Jiang; Pengfei Ma; Tiegen Liu

doi:10.1117/12.2540398

12 March 2020 A multiple events recognition scheme based on improved feature vectors for fiber optic perimeter security system

Zhenshi Sun, Kun Liu, Junfeng Jiang, Pengfei Ma, Tiegen Liu

Author Affiliations +

Proceedings Volume 11436, 2019 International Conference on Optical Instruments and Technology: Optical Sensors and Applications; 1143604 (2020) https://doi.org/10.1117/12.2540398
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

In this paper, we propose an improved feature extraction based multiple events recognition scheme for fiber optic perimeter security system. In the scheme, four common types of security sensing events, namely, background noises, waggling the fence, cutting the fence and climbing the fence are collected based on a dual Mach-Zehnder interferometry vibration sensor. Variational mode decomposition in frequency domain, sample entropy in irregularity and zero crossing rate in time domain are considered as the feature description of the given security sensing events. A series of experiments have been implemented by a radial basis foundation neural network, which shows that the proposed recognition scheme can accurately discriminate the three kinds of man-made intrusions from the background noises. The average identification rates of 98.42% and 100% are achieved for the three types of intrusions and background noises, respectively, which can fully satisfy the field application requirements, the recognition response time is also good of real time performance, which can be controlled less than 1.6 s. Therefore, the proposed events recognition scheme can provide a quite promising field application prospect in the fiber optic perimeter security system.

Citation Download Citation

Zhenshi Sun, Kun Liu, Junfeng Jiang, Pengfei Ma, and Tiegen Liu "A multiple events recognition scheme based on improved feature vectors for fiber optic perimeter security system", Proc. SPIE 11436, 2019 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 1143604 (12 March 2020); https://doi.org/10.1117/12.2540398

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
9 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Fiber optics

Neural networks

Network security

Feature extraction

Sensing systems

Detection and tracking algorithms

Signal processing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years