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In the last two decades, baggage scanning has globally become one of the prime aviation security concerns. Manual screening of the baggage items is tedious, error-prone, and compromise privacy. Hence, many researchers have developed X-ray…

Computer Vision and Pattern Recognition · Computer Science 2020-04-16 Taimur Hassan , Samet Akcay , Mohammed Bennamoun , Salman Khan , Naoufel Werghi

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 from the baggage X-ray scans. However, all of these…

Computer Vision and Pattern Recognition · Computer Science 2020-10-06 Taimur Hassan , Samet Akcay , Mohammed Bennamoun , Salman Khan , Naoufel Werghi

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 addressed this challenge using a novel multi-scale…

Computer Vision and Pattern Recognition · Computer Science 2021-09-22 Taimur Hassan , Samet Akcay , Mohammed Bennamoun , Salman Khan , Naoufel Werghi

Detection of illegal and threatening items in baggage is one of the utmost security concern nowadays. Even for experienced security personnel, manual detection is a time-consuming and stressful task. Many academics have created automated…

Computer Vision and Pattern Recognition · Computer Science 2021-11-09 Muhammed Shafay , Taimur Hassan , Ernesto Damiani , Naoufel Werghi

Identifying potential threats concealed within the baggage is of prime concern for the security staff. Many researchers have developed frameworks that can detect baggage threats from X-ray scans. However, to the best of our knowledge, all…

Computer Vision and Pattern Recognition · Computer Science 2021-07-20 Taimur Hassan , Samet Akcay , Mohammed Bennamoun , Salman Khan , Naoufel Werghi

Screening cluttered and occluded contraband items from baggage X-ray scans is a cumbersome task even for the expert security staff. This paper presents a novel strategy that extends a conventional encoder-decoder architecture to perform…

Computer Vision and Pattern Recognition · Computer Science 2022-01-11 Taimur Hassan , Samet Akcay , Mohammed Bennamoun , Salman Khan , Naoufel Werghi

The aviation and transport security industries face the challenge of screening high volumes of baggage for threats and contraband in the minimum time possible. Automation and semi-automation of this procedure offers the potential to…

Computer Vision and Pattern Recognition · Computer Science 2020-05-06 Anthony Bagnall , Paul Southam , James Large , Richard Harvey

X-ray baggage security screening is widely used to maintain aviation and transport security. Of particular interest is the focus on automated security X-ray analysis for particular classes of object such as electronics, electrical items,…

Computer Vision and Pattern Recognition · Computer Science 2019-04-11 Yona Falinie A. Gaus , Neelanjan Bhowmik , Samet Akçay , Paolo M. Guillen-Garcia , Jack W. Barker , Toby P. Breckon

Security inspection is X-ray scanning for personal belongings in suitcases, which is significantly important for the public security but highly time-consuming for human inspectors. Fortunately, deep learning has greatly promoted the…

Computer Vision and Pattern Recognition · Computer Science 2021-03-02 Renshuai Tao , Yanlu Wei , Hainan Li , Aishan Liu , Yifu Ding , Haotong Qin , Xianglong Liu

X-ray Computed Tomography (CT) based 3D imaging is widely used in airports for aviation security screening whilst prior work on prohibited item detection focuses primarily on 2D X-ray imagery. In this paper, we aim to evaluate the…

Computer Vision and Pattern Recognition · Computer Science 2020-03-31 Qian Wang , Neelanjan Bhowmik , Toby P. Breckon

Oriented object detection predicts orientation in addition to object location and bounding box. Precisely predicting orientation remains challenging due to angular periodicity, which introduces boundary discontinuity issues and symmetry…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Xavier Bou , Gabriele Facciolo , Rafael Grompone von Gioi , Jean-Michel Morel , Thibaud Ehret

Instance segmentation of prohibited items in security X-ray images is a critical yet challenging task. This is mainly caused by the significant appearance gap between prohibited items in X-ray images and natural objects, as well as the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-16 Yunhan Ren , Ruihuang Li , Lingbo Liu , Changwen Chen

Occlusion handling is one of the challenges of object detection and segmentation, and scene understanding. Because objects appear differently when they are occluded in varying degree, angle, and locations. Therefore, determining the…

Computer Vision and Pattern Recognition · Computer Science 2022-04-28 Kaziwa Saleh , Zoltan Vamossy

A novel efficient method for extraction of object proposals is introduced. Its "objectness" function exploits deep spatial pyramid features, a novel fast-to-compute HoG-based edge statistic and the EdgeBoxes score. The efficiency is…

Computer Vision and Pattern Recognition · Computer Science 2015-10-14 David Novotny , Jiri Matas

Automatic security inspection relying on computer vision technology is a challenging task in real-world scenarios due to many factors, such as intra-class variance, class imbalance, and occlusion. Most previous methods rarely touch the…

Computer Vision and Pattern Recognition · Computer Science 2022-11-22 Libo Zhang , Lutao Jiang , Ruyi Ji , Heng Fan

As both computer vision models and biomedical datasets grow in size, there is an increasing need for efficient inference algorithms. We utilize cascade detectors to efficiently identify sparse objects in multiresolution images. Given an…

Computer Vision and Pattern Recognition · Computer Science 2025-05-01 Thomas L. Athey , Shashata Sawmya , Nir Shavit

Mistakes/uncertainties in object detection could lead to catastrophes when deploying robots in the real world. In this paper, we measure the uncertainties of object localization to minimize this kind of risk. Uncertainties emerge upon…

Computer Vision and Pattern Recognition · Computer Science 2020-07-03 Yihui He , Jianren Wang

Automated X-ray inspection is crucial for efficient and unobtrusive security screening in various public settings. However, challenges such as object occlusion, variations in the physical properties of items, diversity in X-ray scanning…

Automatic detection of prohibited objects within passenger baggage is important for aviation security. X-ray Computed Tomography (CT) based 3D imaging is widely used in airports for aviation security screening whilst prior work on automatic…

Computer Vision and Pattern Recognition · Computer Science 2020-08-05 Qian Wang , Neelanjan Bhowmik , Toby P. Breckon

Object search -- the problem of finding a target object in a cluttered scene -- is essential to solve for many robotics applications in warehouse and household environments. However, cluttered environments entail that objects often occlude…

Robotics · Computer Science 2019-09-06 Andrew Price , Linyi Jin , Dmitry Berenson
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