Automatic Tracking Tunnel Cables Using Egomotion Estimation

Chang An Liu; Zhe Sun; Hua Wu; Guo Tian Yang

doi:10.4028/www.scientific.net/AMR.710.546

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 710Automatic Tracking Tunnel Cables Using Egomotion...

Automatic Tracking Tunnel Cables Using Egomotion Estimation

Abstract:

We proposed an online method of tracking the tunnel cable based on egomotion estimation. The method is firstly applied key point detection algorithm to extract feature points, and then the points are matched to estimate the matrix of egomotion representing the camera movement. Finally, we use the matrix to locate a mask around the cable in each frames captured inside the power line tunnel. The experimental results show robustness and efficiency of our method.

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Periodical:

Advanced Materials Research (Volume 710)

Pages:

546-549

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.710.546

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Online since:

June 2013

Authors:

Chang An Liu, Zhe Sun, Hua Wu, Guo Tian Yang

Keywords:

Automatic Tracking, Egomotion Estimation, Inspection Robot, Tunnel Cable

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