Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging
X-ray security screening is widely used to maintain aviation/transport security, and its
significance poses a particular interest in automated screening systems. This paper aims to …
significance poses a particular interest in automated screening systems. This paper aims to …
Recent advances in baggage threat detection: A comprehensive and systematic survey
X-ray imagery systems have enabled security personnel to identify potential threats
contained within the baggage and cargo since the early 1970s. However, the manual …
contained within the baggage and cargo since the early 1970s. However, the manual …
[HTML][HTML] Detection of objects in the images: from likelihood relationships towards scalable and efficient neural networks
NA Andriyanov, VE Dementiev, AG Tashlinskii - Computer Optics, 2022 - computeroptics.ru
The relevance of the tasks of detecting and recognizing objects in images and their
sequences has only increased over the years. Over the past few decades, a huge number of …
sequences has only increased over the years. Over the past few decades, a huge number of …
Occluded prohibited object detection in X-ray images with global Context-aware Multi-Scale feature Aggregation
C Ma, L Zhuo, J Li, Y Zhang, J Zhang - Neurocomputing, 2023 - Elsevier
Abstract Prohibited Object Detection (POD) in X-ray images plays an important role in
protecting public safety. Automatic and accurate POD is required to relieve the working …
protecting public safety. Automatic and accurate POD is required to relieve the working …
[HTML][HTML] Обнаружение объектов на изображении: от критериев Байеса и Неймана–Пирсона к детекторам на базе нейронных сетей EfficientDet
НА Андриянов, ВЕ Дементьев… - Компьютерная …, 2022 - cyberleninka.ru
Актуальность задач обнаружения и распознавания объектов на изображениях и их
последовательностях с годами только возрастает. За последние несколько …
последовательностях с годами только возрастает. За последние несколько …
Tensor pooling-driven instance segmentation framework for baggage threat recognition
Automated systems designed for screening contraband items from the X-ray imagery are still
facing difficulties with high clutter, concealment, and extreme occlusion. In this paper, we …
facing difficulties with high clutter, concealment, and extreme occlusion. In this paper, we …
Meta-transfer learning driven tensor-shot detector for the autonomous localization and recognition of concealed baggage threats
Screening baggage against potential threats has become one of the prime aviation security
concerns all over the world, where manual detection of prohibited items is a time-consuming …
concerns all over the world, where manual detection of prohibited items is a time-consuming …
Trainable structure tensors for autonomous baggage threat detection under extreme occlusion
Detecting baggage threats is one of the most difficult tasks, even for expert officers. Many
researchers have developed computer-aided screening systems to recognize these threats …
researchers have developed computer-aided screening systems to recognize these threats …
A novel incremental learning driven instance segmentation framework to recognize highly cluttered instances of the contraband items
Screening cluttered and occluded contraband items from baggage X-ray scans is a
cumbersome task even for the expert security staff. This article presents a novel strategy that …
cumbersome task even for the expert security staff. This article presents a novel strategy that …
Computer vision on x-ray data in industrial production and security applications: A comprehensive survey
X-ray imaging technology has been used for decades in clinical tasks to reveal the internal
condition of different organs, and in recent years, it has become more common in other …
condition of different organs, and in recent years, it has become more common in other …