Non-contact pantograph detection and location algorithm for monocular infrared images

Shuo Wang; Xuan Li; Jianguo Sun; Zhenghua Huang; Hanyu Hong

doi:10.1117/12.2537448

14 February 2020 Non-contact pantograph detection and location algorithm for monocular infrared images

Shuo Wang, Xuan Li, Jianguo Sun, Zhenghua Huang, Hanyu Hong

Proceedings Volume 11429, MIPPR 2019: Automatic Target Recognition and Navigation; 114290B (2020) https://doi.org/10.1117/12.2537448
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

Pantograph carbon slide is an important device in power supply system of electric locomotive, the pantograph location is greatly significant for the geometric parameter measurement of the pantograph-catenary system. In order to enhance the adaptability of pantograph detection algorithm to the scene, and to reduce the false rate and missing rate of pantograph detection, this paper proposes a novel method based on the pantograph template for fast matching and horizontal edge detection projection in monocular infrared pantograph images. Firstly, the prior knowledge of the position of the pantograph and the catenary is combined with the template matching method to realize the rough location of the pantograph, and then the precise location of the pantograph by horizontal edge detection and horizontal unilateral projection. The experimental results show that this novel adaptive method realizes the non-contact detection and location of the pantograph effectively, and improve the efficiency significantly.

Citation Download Citation

Shuo Wang, Xuan Li, Jianguo Sun, Zhenghua Huang, and Hanyu Hong "Non-contact pantograph detection and location algorithm for monocular infrared images", Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 114290B (14 February 2020); https://doi.org/10.1117/12.2537448

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