Engineering Vehicles Detection Based on Modified Faster R-CNN for Power Grid Surveillance.

Xiang, Xuezhi; Lv, Ning; Guo, Xinli; Wang, Shuai; El Saddik, Abdulmotaleb

Xiang, Xuezhi; Lv, Ning; Guo, Xinli; Wang, Shuai; El Saddik, Abdulmotaleb.

Afiliação

Xiang X; College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. xiangxuezhi@hrbeu.edu.cn.
Lv N; College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. lvning@hrbeu.edu.cn.
Guo X; College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. guoxinli@hrbeu.edu.cn.
Wang S; College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China. wangshuai_0121@163.com.
El Saddik A; School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON KIN 6N5, Canada. elsaddik@uottawa.ca.

Sensors (Basel) ; 18(7)2018 Jul 13.

Article em En | MEDLINE | ID: mdl-30011812

Palavras-chave

engineering vehicles; external damage; faster R-CNN; power grid surveillance; transfer learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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