High Voltage Transmission Tower Detection and Tracking in Aerial Video Sequence using Object-Based Image Classification

Parkpoom Tragulnuch, Thitiporn Chanvimaluang, T. Kasetkasem, Salisa Ingprasert, T. Isshiki
{"title":"High Voltage Transmission Tower Detection and Tracking in Aerial Video Sequence using Object-Based Image Classification","authors":"Parkpoom Tragulnuch, Thitiporn Chanvimaluang, T. Kasetkasem, Salisa Ingprasert, T. Isshiki","doi":"10.1109/ICESIT-ICICTES.2018.8442058","DOIUrl":null,"url":null,"abstract":"The Aerial Surveillance is an effective method to inspect overhead power transmission line in complicated geographical terrains. However, the practical automatic method is still needed to improve the inspection efficiency. The Canny-Edge detector and Hough transformation are used to extract the power transmission tower straight-line feature. Then, we use object-based image classification to classify the straight-line. The experiments from a set of real-world video sequence have shown the excellent performance of our approach in term of the receiver operating characteristic curve.","PeriodicalId":57136,"journal":{"name":"单片机与嵌入式系统应用","volume":"55 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"单片机与嵌入式系统应用","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ICESIT-ICICTES.2018.8442058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

The Aerial Surveillance is an effective method to inspect overhead power transmission line in complicated geographical terrains. However, the practical automatic method is still needed to improve the inspection efficiency. The Canny-Edge detector and Hough transformation are used to extract the power transmission tower straight-line feature. Then, we use object-based image classification to classify the straight-line. The experiments from a set of real-world video sequence have shown the excellent performance of our approach in term of the receiver operating characteristic curve.
基于目标图像分类的航空视频序列高压输电塔检测与跟踪
空中监视是对复杂地形条件下架空输电线路进行监测的有效手段。但是,为了提高检测效率,仍然需要实用的自动化方法。利用anny- edge检测器和Hough变换提取输电塔的直线特征。然后,我们使用基于目标的图像分类对直线进行分类。一组真实视频序列的实验表明,该方法在接收机工作特性曲线方面具有优异的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
7395
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信