COMPUTER VISION-BASED DETECTION AND STATE RECOGNITION FOR DISCONNECTING SWITCH IN SUBSTATION AUTOMATION

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进机器人控制团队

	COMPUTER VISION-BASED DETECTION AND STATE RECOGNITION FOR DISCONNECTING SWITCH IN SUBSTATION AUTOMATION
	Chen, Hongkai; Zhao, Xiaoguang; Tan, Min; Sun, Shiying
刊名	INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION
	2017
卷号	32 期号:1 页码:1-12
关键词	Computer vision substation automation disconnecting switch state recognition histograms of oriented gradients norm gradient field
英文摘要	State recognition in disconnecting switches is important during substation automation. Here, an effective computer vision-based automatic detection and state recognition method for disconnecting switches is proposed. Taking advantage of some important prior knowledge about a disconnecting switch, the method is designed using two important features of the fixed-contact facet of such disconnecting switches. First, the Histograms of Oriented Gradients (HOG) of the fixed-contact are used to design a Linear Discriminant Analysis (LDA) target detector to position the disconnecting switches and distinguish their loci against a usual cluttered background. Then a discriminative Norm Gradient Field (NGF) feature is used to train the Support Vector Machine (SVM) state classifier to discriminate disconnecting switch states. Finally, experimental results, compared with other methods, demonstrate that the proposed method is effective and achieves a low miss rate while delivering high performance in both precision and recall rate. In addition, the adopted approach is efficient and has the potential to work in practical substation automation scenarios.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Automation & Control Systems ; Robotics
研究领域[WOS]	Automation & Control Systems ; Robotics
关键词[WOS]	IDENTIFICATION
收录类别	SCI
语种	英语
WOS记录号	WOS:000397167200001
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/14399]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
作者单位	Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Chen, Hongkai,Zhao, Xiaoguang,Tan, Min,et al. COMPUTER VISION-BASED DETECTION AND STATE RECOGNITION FOR DISCONNECTING SWITCH IN SUBSTATION AUTOMATION[J]. INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION,2017,32(1):1-12.
APA	Chen, Hongkai,Zhao, Xiaoguang,Tan, Min,&Sun, Shiying.(2017).COMPUTER VISION-BASED DETECTION AND STATE RECOGNITION FOR DISCONNECTING SWITCH IN SUBSTATION AUTOMATION.INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION,32(1),1-12.
MLA	Chen, Hongkai,et al."COMPUTER VISION-BASED DETECTION AND STATE RECOGNITION FOR DISCONNECTING SWITCH IN SUBSTATION AUTOMATION".INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION 32.1(2017):1-12.