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题名: Faulty insulator diagnosis for UAV videos based on repetitiveness feature
作者: Lin L(蔺蘭) ; Li BF(李冰锋) ; Wang L(王玲) ; Cong Y(丛杨) ; Tang YD(唐延东)
作者部门: 机器人学研究室
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
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
出版日期: 2013
页码: 2536-2542
收录类别: CPCI(ISTP) ; EI
ISSN号: 1660-9336
ISBN号: 9783037858882
关键词: Mechanics
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13912
Appears in Collections:机器人学研究室_会议论文

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