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How Image Based Factors and Human Factors Contribute to Threat Detection Performance in X-Ray Aviation Security Screening

机译:基于图像的因素和人为因素如何有助于X射线航空安全筛查威胁检测性能

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The present study examines the relative importance of a series of known and expected factors that highly affect threat detection performance in aviation security X-ray screening. Examined image based factors were threat item view difficulty, threat item superposition, bag complexity and bag size. Further, also the two human/demographic factors X-ray image interpretation training and age were examined. Image measurements and performance statistics for factors estimation are introduced. Three statistical approaches were applied in order to examine the impact of the introduced factors on threat detection performance and revealed consistent results. Bivariate correlations between detection performance and predictors/factors were analysed to estimate the isolated impact of each single factor independently of any other. Multiple linear regression analyses were applied for estimating the overall impact of all image based factors and human/demographic factors respectively. And analyses of covariance were applied in order to check for possible interaction effects between all factors of the models. All analyses were applied separately for the four threat item categories guns, knives, improvised explosive devices and other.
机译:本研究探讨了一系列已知和预期因素的相对重要性,这在航空安全X射线筛选中产生了高度影响威胁检测性能。检查的图像基因子是威胁项目查看难度,威胁项目叠加,袋子复杂性和袋尺寸。此外,还研究了两名人类/人口统计因素X射线图像解释培训和年龄。介绍了因素估计的图像测量和性能统计。应用三种统计方法,以检查引入的因素对威胁检测性能的影响,并揭示了一致的结果。分析了检测性能和预测器/因素之间的双变量相关性,以估计每个单一因素的分离的影响。应用了多元线性回归分析,用于估计基于图像的因素和人口统计因子的整体影响。应用协方差分析,以检查模型的所有因素之间的可能的相互作用效果。所有分析都分别适用于四个威胁物品类别枪,刀,简易爆炸装置等。

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