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A method of insulator detection from video sequence
Li BF(李冰锋); Wu DL(吴登禄); Cong Y(丛杨); Xia Y(夏泳); Tang YD(唐延东)
作者部门机器人学研究室
会议名称2012 4th International Symposium on Information Science and Engineering, ISISE 2012
会议日期December 14-16, 2012
会议地点Shanghai, China
会议录名称Proceedings of the 2012 4th International Symposium on Information Science and Engineering, ISISE 2012
出版者IEEE Computer Society
出版地Washington, DC
2012
页码386-389
收录类别EI ; CPCI(ISTP)
EI收录号20132016337983
WOS记录号WOS:000321753500085
产权排序1
ISBN号978-0-7695-4951-4
关键词Insulator Recognition Insulator Tilt Correction Positioning Shape Feature
摘要We present a very efficient approach for insulators detection. Unlike previous texture-based approach, we directly search insulators location in the images by using Profile projection. For overcoming the negative effect of image noise on object detection, we preprocess insulators image by thresholding method. To make insulators detection more effective and efficient, we design a tilt correction method based on principal component analysis. The correction enables our method to derive accurate feature extraction curve from insulators image, then we extract five features from the feature curve, which are related to the number of binary sequence and the normalized variance of the binary sequence length. After obtaining the insulators feature from an image, we apply SVM to identify insulators with the five features. Some experiments on video frame images show that our approach significantly outperforms the state-of-the-art in term of both accuracy and efficiency.
语种英语
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被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13894
专题机器人学研究室
通讯作者Li BF(李冰锋)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Henan Polytechnic University, Jiaozuo, China
3.University of Chinese Academy of Sciences, Beijing, China
4.Benxi Power Supply Company, Liaoning Electric Power Company Limited, Benxi, China
推荐引用方式
GB/T 7714
Li BF,Wu DL,Cong Y,et al. A method of insulator detection from video sequence[C]. Washington, DC:IEEE Computer Society,2012:386-389.
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