中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Faulty insulator diagnosis for UAV videos based on repetitiveness feature

文献类型:会议论文

作者Lin L(蔺蘭); Li BF(李冰锋); Wang L(王玲); Cong Y(丛杨); Tang YD(唐延东)
出版日期2013
会议名称3rd International Conference on Applied Mechanics, Materials and Manufacturing, ICAMMM 2013
会议日期August 24-25, 2013
会议地点Dalian, China
关键词Mechanics
页码2536-2542
中文摘要In this paper, we proposed a faulty insulator diagnosis method for insulator faulty detection based on repetitiveness feature from UAV video sequence. The repetitiveness feature which describes the relationship of each structural element of insulator is employed for the insulator faulty diagnosis, and is robust to noise, camera motivation and complex backgrounds. Base on the repetition of structural element, our method can not only deal with single insulator with multi-faults, but also work on double insulator strings. The recognition results on insulator dataset and UAV video show the effectiveness of our method. © (2013) Trans Tech Publications, Switzerland.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录Applied Mechanics and Materials
会议录出版者Trans Tech Publications Ltd
会议录出版地Zurich-Durnten, Switzerland
语种英语
ISSN号1660-9336
ISBN号978-3-03785-888-2
WOS记录号WOS:000339363800496
源URL[http://ir.sia.cn/handle/173321/13912]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Lin L,Li BF,Wang L,et al. Faulty insulator diagnosis for UAV videos based on repetitiveness feature[C]. 见:3rd International Conference on Applied Mechanics, Materials and Manufacturing, ICAMMM 2013. Dalian, China. August 24-25, 2013.

入库方式: OAI收割

来源:沈阳自动化研究所

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