Robust event classification for a fiber optic perimeter intrusion detection system using level crossing features and artificial neural networks

SS Mahmoud, J Katsifolis - Fiber optic sensors and …, 2010 - spiedigitallibrary.org
Discriminating between intrusion and nuisance events without compromising sensitivity is a
key performance parameter for any outdoor perimeter intrusion detection system. This is …
被引用次数：52 相关文章

Robust event classification for a fiber optic perimeter intrusion detection system using level crossing features and artificial neural networks

S Mahmoud, J Katsifolis - Proc. of SPIE Vol - spiedigitallibrary.org
Discriminating between intrusion and nuisance events without compromising sensitivity is a
key performance parameter for any outdoor perimeter intrusion detection system. This is …

[引用][C] Robust event classification for a fiber optic perimeter intrusion detection system using level crossing features and artificial neural networks

SS Mahmoud, J Katsifolis - SPIE Proceedings, 2010 - cir.nii.ac.jp
Robust event classification for a fiber optic perimeter intrusion detection system using level
crossing features and artificial neural networks | CiNii Research CiNii 国立情報学研究所 学術 …

Robust event classification for a fiber optic perimeter intrusion detection system using level crossing features and artificial neural networks

SS Mahmoud, J Katsifolis - Fiber Optic Sensors and …, 2010 - ui.adsabs.harvard.edu
Discriminating between intrusion and nuisance events without compromising sensitivity is a
key performance parameter for any outdoor perimeter intrusion detection system. This is …

[引用][C] Robust Event Classification for a Fiber Optic Perimeter Intrusion Detection System Using Level Crossing Features and Artificial Neural Networks

SS MAHMOUD, J KATSIFOLIS - … of SPIE, the …, 2010 - Society of Photo-Optical …