Title :
Autonomous Rail Track Inspection using Vision Based System
Author :
Singh, Maneesha ; Singh, Sameer ; Jaiswal, Jay ; Hempshall, John
Author_Institution :
Res. Sch. of Informatics, Loughborough Univ.
Abstract :
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
Keywords :
automatic optical inspection; computer vision; railway engineering; railway safety; automated video analysis; autonomous rail track inspection; image analysis; image processing; vision based system; Image analysis; Image color analysis; Image processing; Image sequence analysis; Inspection; Machine vision; Radar tracking; Rail transportation; Railway safety; Thickness measurement; Image processing; rail track inspection;
Conference_Titel :
Computational Intelligence for Homeland Security and Personal Safety, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Alexandria, VA
Print_ISBN :
1-4244-0744-3
Electronic_ISBN :
1-4244-0745-1
DOI :
10.1109/CIHSPS.2006.313313
