基于视觉系统的自主轨道检测

2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety Pub Date : 2006-10-01 DOI:10.1109/CIHSPS.2006.313313

M. Singh, S. Singh, J. Jaiswal, J. Hempshall

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引用次数: 105

摘要

本文提出了一种基于自动视频分析的轨道检测技术。该系统旨在取代铁路工程师进行轨道检查的人工目视检查。我们建议将图像处理和分析相结合的方法来实现高性能的自动化轨道检测。本文解决的问题是寻找缺失的夹子和寻找蓝色的夹子，最近已经取代了损坏的夹子。实验结果表明，基于机器视觉的检测方法在大量真实列车视频样本上取得了良好的效果

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Autonomous Rail Track Inspection using Vision Based System

This paper proposes a rail track inspection technique using automated video analysis. This system is aimed to replace manual visual checks performed by the railway engineers for track inspection. We suggest a combination of image processing and analysis methods to achieve high performance automated rail track inspection. This paper addresses the problem of finding missing clips and finding blue clips which have been recently replaced in place of damaged clips. The experimental results show high performance in machine vision based inspection on a large sample of real train video

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来源期刊

2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety

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