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A UNIFIED FRAMEWORK FOR FAULT DETECTION OF FREIGHT TRAIN IMAGES UNDER COMPLEX ENVIRONMENT

Abstract: 

This paper proposes a novel unified framework for fault detection of the freight train images based on convolutional neural network (CNN) under complex environment. Firstly, the multi region proposal networks (MRPN) with a set of prior bounding boxes are introduced to achieve high quality fault proposal generation. And then, we apply a linear non-maximum suppression method to retain the most suitable anchor while removing redundant boxes. Finally, a powerful multi-level region-of-interest (ROI) pooling is proposed for proposal classification and accurate detection. The experimental results indicate that the proposed method can achieve high performance on four typical fault benchmarks, substantially outperforming the state-of-the-art methods.

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Paper Details

Authors:
Submitted On:
9 October 2018 - 8:40pm
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Type:
Poster
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Document Year:
2018
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ICIP-poster-A UNIFIED FRAMEWORK FOR FAULT DETECTION OF FREIGHT TRAIN IMAGES UNDER COMPLEX ENVIRONMENT.pdf

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[1] , "A UNIFIED FRAMEWORK FOR FAULT DETECTION OF FREIGHT TRAIN IMAGES UNDER COMPLEX ENVIRONMENT", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3657. Accessed: Oct. 19, 2018.
@article{3657-18,
url = {http://sigport.org/3657},
author = { },
publisher = {IEEE SigPort},
title = {A UNIFIED FRAMEWORK FOR FAULT DETECTION OF FREIGHT TRAIN IMAGES UNDER COMPLEX ENVIRONMENT},
year = {2018} }
TY - EJOUR
T1 - A UNIFIED FRAMEWORK FOR FAULT DETECTION OF FREIGHT TRAIN IMAGES UNDER COMPLEX ENVIRONMENT
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3657
ER -
. (2018). A UNIFIED FRAMEWORK FOR FAULT DETECTION OF FREIGHT TRAIN IMAGES UNDER COMPLEX ENVIRONMENT. IEEE SigPort. http://sigport.org/3657
, 2018. A UNIFIED FRAMEWORK FOR FAULT DETECTION OF FREIGHT TRAIN IMAGES UNDER COMPLEX ENVIRONMENT. Available at: http://sigport.org/3657.
. (2018). "A UNIFIED FRAMEWORK FOR FAULT DETECTION OF FREIGHT TRAIN IMAGES UNDER COMPLEX ENVIRONMENT." Web.
1. . A UNIFIED FRAMEWORK FOR FAULT DETECTION OF FREIGHT TRAIN IMAGES UNDER COMPLEX ENVIRONMENT [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3657