An optic-fiber fence intrusion recognition system using mixture Gaussian hidden Markov models

IEICE Electronics Express

Jie Zhu¹  Zhixian Ma¹  Yao Liang¹ 

[1] Department of Electronic Engineering, Shanghai Jiao Tong University

关键词: fence intrusion;    optic-fiber;    recognition;    Sagnac interferometer;    Gaussian mixture model (GMM);    hidden Markov model (HMM);   

DOI  :  10.1587/elex.14.20170023

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

Since the development of optic-fiber interferometers and design of outstanding speech recognition models, the study on perimeter intrusion detection systems (PIDS) becomes a field of interest. In this paper, an optic-fiber based fence intrusion detection and recognition system that uses Sagnac interferometers and mixture Gaussian hidden Markov models (GMM-HMMs) is proposed. Experiments on real fence intrusions are performed, and comparisons are also carried out between our approach and the SVM based method, which prove our system more robust and accurate.

【 授权许可】

CC BY