Detection of concealed cars in complex cargo X-ray imagery using deep learning

@article{Jaccard2017DetectionOC,
  title={Detection of concealed cars in complex cargo X-ray imagery using deep learning},
  author={Nicolas Jaccard and Thomas W. Rogers and Edward J. Morton and Lewis D. Griffin},
  journal={Journal of X-ray science and technology},
  year={2017},
  volume={25 3},
  pages={323-339}
}
BACKGROUND Non-intrusive inspection systems based on X-ray radiography techniques are routinely used at transport hubs to ensure the conformity of cargo content with the supplied shipping manifest. As trade volumes increase and regulations become more stringent, manual inspection by trained operators is less and less viable due to low throughput. Machine vision techniques can assist operators in their task by automating parts of the inspection workflow. Since cars are routinely involved in… CONTINUE READING
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