Detection of pantograph-catch arc in urban rail transit based on correlation filtering

Weihang Zheng; Hongxing Pei

doi:10.1117/12.2642625

28 July 2022 Detection of pantograph-catch arc in urban rail transit based on correlation filtering

Weihang Zheng, Hongxing Pei

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123031F (2022) https://doi.org/10.1117/12.2642625
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

The pantograph arc is an important factor affecting the safety of urban rail transit trains. Based on the monitoring video of Zhengzhou subway train pantograph, this paper proposes a pantograph arc detection method using correlation filtering algorithm. A double-filter structure is adopted, and two filters are trained according to different characteristics of the pantograph-catenary arc, and the tracking and arc detection tasks are completed through the oscillation of the filters. Experiments were carried out on Zhengzhou subway surveillance video, the result shows the method achieves the expected correct rate, has low implementation cost and fast detection speed, and can be simply transplanted into practical engineering detection applications.

Citation Download Citation

Weihang Zheng and Hongxing Pei "Detection of pantograph-catch arc in urban rail transit based on correlation filtering", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123031F (28 July 2022); https://doi.org/10.1117/12.2642625

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