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IEEE DOI
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Zhu, Z.G.[Zhi-Gang],
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A Sparse Aperture MIMO-SAR-Based UWB Imaging System for Concealed
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IEEE DOI
1101
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Nova, E.,
Romeu, J.,
Torres, F.,
Pablos, M.,
Riera, J.M.,
Broquetas, A.,
Jofre, L.,
Radiometric and Spatial Resolution Constraints in Millimeter-Wave
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GeoRS(51), No. 4, April 2013, pp. 2327-2336.
IEEE DOI
1304
Screening systems.
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Xiao, Z.,
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IET-IPR(5), No. 5, 2011, pp. 375-381.
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1110
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1305
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Earlier: A3, A1, A2:
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IEEE DOI
1009
CT baggage scan; Threat detection; Object recognition; 3D feature
descriptors; CT object recognition; 3D SIFT
BibRef
Megherbi, N.[Najla],
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Breckon, T.P.[Toby P.],
Flitton, G.T.[Greg T.],
A comparison of classification approaches for threat detection in CT
based baggage screening,
ICIP12(3109-3112).
IEEE DOI
1302
BibRef
Megherbi, N.,
Breckon, T.P.,
Flitton, G.T.,
Mouton, A.,
Fully automatic 3D Threat Image Projection:
Application to densely cluttered 3D Computed Tomography baggage images,
IPTA12(153-159)
IEEE DOI
1503
Radon transforms
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Flitton, G.T.[Greg T.],
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Breckon, T.P.[Toby P.],
Object classification in 3D baggage security computed tomography
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PR(48), No. 8, 2015, pp. 2489-2499.
Elsevier DOI
1505
3D Object classification
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Mouton, A.[Andre],
Breckon, T.P.[Toby P.],
Flitton, G.T.[Greg T.],
Megherbi, N.[Najla],
3D object classification in baggage computed tomography imagery using
randomised clustering forests,
ICIP14(5202-5206)
IEEE DOI
1502
Computed tomography
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Mouton, A.[Andre],
Breckon, T.P.[Toby P.],
Materials-based 3D segmentation of unknown objects from dual-energy
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Elsevier DOI
1503
Segmentation
BibRef
Mouton, A.[Andre],
Megherbi, N.[Najla],
van Slambrouck, K.[Katrien],
Nuyts, J.[Johan],
Breckon, T.P.[Toby P.],
A distance driven method for metal artefact reduction in computed
tomography,
ICIP13(2334-2338)
IEEE DOI
1402
CT; baggage CT; metal artefact reduction
BibRef
Mouton, A.[Andre],
Megherbi, N.[Najla],
Flitton, G.T.[Greg T.],
Bizot, S.[Suzanne],
Breckon, T.P.[Toby P.],
A novel intensity limiting approach to Metal Artefact Reduction in 3D
CT baggage imagery,
ICIP12(2057-2060).
IEEE DOI
1302
BibRef
Mery, D.[Domingo],
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Arias, M.[Marco],
Riffo, V.[Vladimir],
Saavedra, J.M.[Jose M.],
Banerjee, S.[Sandipan],
Modern Computer Vision Techniques for X-Ray Testing in Baggage
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SMCS(47), No. 4, April 2017, pp. 682-692.
IEEE DOI
1704
Computer vision
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Mohammadzade, H.[Hoda],
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1706
Image processing, Pattern recognition, Machine vision, Algorithms.
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Hussein, N.J.[Nashwan Jasim],
Hu, F.[Fei],
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Multisensor of thermal and visual images to detect concealed weapon
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1708
Multisensory
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Gao, Q.J.[Qing-Ji],
Yin, D.Y.[De-Yu],
Luo, Q.J.[Qi-Jun],
Liu, J.B.[Jing-Bin],
Minimum elastic bounding box algorithm for dimension detection of 3D
objects: a case of airline baggage measurement,
IET-IPR(12), No. 8, August 2018, pp. 1313-1321.
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1808
BibRef
Dhiraj,
Jain, D.K.[Deepak Kumar],
An evaluation of deep learning based object detection strategies for
threat object detection in baggage security imagery,
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Elsevier DOI
1904
BibRef
Mallia-Parfitt, N.[Noeleene],
Giasemidis, G.[Georgios],
Graph clustering and variational image segmentation for automated
firearm detection in X-ray images,
IET-IPR(13), No. 7, 30 May 2019, pp. 1105-1114.
DOI Link
1906
BibRef
Gupta, P.,
Sinno, Z.,
Glover, J.L.,
Paulter, N.G.,
Bovik, A.C.,
Predicting Detection Performance on Security X-Ray Images as a
Function of Image Quality,
IP(28), No. 7, July 2019, pp. 3328-3342.
IEEE DOI
1906
computerised instrumentation, explosives, image processing,
natural scenes, security, statistical analysis, X-ray imaging,
improvised explosive devices (IEDs)
BibRef
García Oya, J.R.,
Algueta Miguel, J.M.,
Garcí Doblado, J.,
Muñoz Chavero, F.,
Hidalgo Fort, E.,
Baena Lecuyer, V.,
López Martín, A.J.,
Subsampling OFDM-Based Ultrasonic Data Communication Through Metallic
Channels for Monitoring of Cargo Containers,
ITS(20), No. 11, November 2019, pp. 4245-4250.
IEEE DOI
1911
Containers, Acoustics, OFDM, Monitoring, Bandwidth, Power demand,
Resonant frequency, Intelligent containers, intermodal transport,
ultrasonic communication
BibRef
Dumagpi, J.K.[Joanna Kazzandra],
Jung, W.Y.[Woo-Young],
Jeong, Y.J.[Yong-Jin],
A New GAN-Based Anomaly Detection (GBAD) Approach for Multi-Threat
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IEICE(E103-D), No. 2, February 2020, pp. 454-458.
WWW Link.
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Greenberg, J.A.,
Ashok, A.,
Gehm, M.E.,
The all-seeing baggage scanner,
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IEEE DOI
2006
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Cheng, Y.Y.[Ya-Yun],
Wang, Y.X.[Ying-Xin],
Niu, Y.Y.[Ying-Ying],
Rutt, H.[Harvey],
Zhao, Z.R.[Zi-Ran],
Physically Based Object Contour Edge Display Using Adjustable Linear
Polarization Ratio for Passive Millimeter-Wave Security Imaging,
GeoRS(59), No. 4, April 2021, pp. 3177-3191.
IEEE DOI
2104
Image edge detection, Rough surfaces, Surface roughness, Imaging,
Security, Radiometry, Antennas, polarimetric imaging
BibRef
Debnath, R.[Rajib],
Bhowmik, M.K.[Mrinal Kanti],
A comprehensive survey on computer vision based concepts,
methodologies, analysis and applications for automatic gun/knife
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JVCIR(78), 2021, pp. 103165.
Elsevier DOI
2107
Weapon detection, Survey, Security and surveillance,
Multiple object detection, Visual and concealed
BibRef
Shao, F.[Fangtao],
Liu, J.[Jing],
Wu, P.[Peng],
Yang, Z.W.[Zhi-Wei],
Wu, Z.Y.[Zhao-Yang],
Exploiting foreground and background separation for prohibited item
detection in overlapping X-Ray images,
PR(122), 2022, pp. 108261.
Elsevier DOI
2112
X-ray imagery, Object detection,
Foreground and background separation (FBS), Recursive training
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Akcay, S.[Samet],
Breckon, T.[Toby],
Towards automatic threat detection: A survey of advances of deep
learning within X-ray security imaging,
PR(122), 2022, pp. 108245.
Elsevier DOI
2112
Review, Survey, X-Ray security imaging, Deep learning
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Yuan, M.H.[Ming-Hui],
Zhang, Q.S.[Quan-Sheng],
Li, Y.W.[Yin-Wei],
Yan, Y.H.[Yun-Hao],
Zhu, Y.M.[Yi-Ming],
A Suspicious Multi-Object Detection and Recognition Method for
Millimeter Wave SAR Security Inspection Images Based on Multi-Path
Extraction Network,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Wang, X.L.[Xin-Lin],
Gou, S.P.[Shui-Ping],
Li, J.[Jichao],
Zhao, Y.H.[Ying-Hai],
Liu, Z.[Zhen],
Jiao, C.Z.[Chang-Zhe],
Mao, S.S.[Sha-Sha],
Self-Paced Feature Attention Fusion Network for Concealed Object
Detection in Millimeter-Wave Image,
CirSysVideo(32), No. 1, January 2022, pp. 224-239.
IEEE DOI
2201
Object detection, Feature extraction, Imaging, Semantics,
Location awareness, Training, Proposals,
self-paced learning
BibRef
Yang, H.[Hao],
Chu, X.X.[Xiu-Xiu],
Zhang, L.[Li],
Sun, Y.[Yunda],
Li, D.[Dong],
Maybank, S.J.[Stephen J.],
QuadNet: Quadruplet loss for multi-view learning in baggage
re-identification,
PR(126), 2022, pp. 108546.
Elsevier DOI
2204
Baggage re-identification, Multi-view learning,
Quadruplet loss, View-aware features
BibRef
Fan, D.P.[Deng-Ping],
Ji, G.P.[Ge-Peng],
Cheng, M.M.[Ming-Ming],
Shao, L.[Ling],
Concealed Object Detection,
PAMI(44), No. 10, October 2022, pp. 6024-6042.
IEEE DOI
2209
Object detection, Annotations, Task analysis, Image segmentation,
Benchmark testing, Animals, Art, Concealed object detection,
benchmark
BibRef
Sun, P.[Peng],
Liu, T.[Ting],
Chen, X.T.[Xiao-Tong],
Zhang, S.Y.[Shi-Yin],
Zhao, Y.[Yao],
Wei, S.[Shikui],
Multi-Source Aggregation Transformer for Concealed Object Detection
in Millimeter-Wave Images,
CirSysVideo(32), No. 9, September 2022, pp. 6148-6159.
IEEE DOI
2209
Object detection, Feature extraction, Transformers, Proposals,
Noise measurement, Training, Semantics, Concealed object detection,
security system
BibRef
Dumagpi, J.K.[Joanna Kazzandra],
Jeong, Y.J.[Yong-Jin],
End-to-End Object Separation for Threat Detection in Large-Scale X-Ray
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IEICE(E105-D), No. 10, October 2022, pp. 1807-1811.
WWW Link.
2210
BibRef
Velayudhan, D.[Divya],
Hassan, T.[Taimur],
Damiani, E.[Ernesto],
Werghi, N.[Naoufel],
Recent Advances in Baggage Threat Detection: A Comprehensive and
Systematic Survey,
Surveys(55), No. 8, December 2022, pp. xx-yy.
DOI Link
2301
Baggage screening, deep learning, 2D X-ray and 3D CT X-ray security screening
BibRef
Gou, S.P.[Shui-Ping],
Wang, X.[Xinlin],
Mao, S.S.[Sha-Sha],
Jiao, L.C.[Li-Cheng],
Liu, Z.[Zhen],
Zhao, Y.H.[Ying-Hai],
Weakly-Supervised Semantic Feature Refinement Network for MMW
Concealed Object Detection,
CirSysVideo(33), No. 3, March 2023, pp. 1363-1373.
IEEE DOI
2303
Object detection, Feature extraction, Proposals, Semantics,
Location awareness, Millimeter wave technology, Detectors,
multi-scale weakly-supervised localization
BibRef
Siddique, A.[Abubakar],
Medeiros, H.[Henry],
Tracking Passengers and Baggage Items Using Multiple Overhead Cameras
at Security Checkpoints,
SMCS(53), No. 6, June 2023, pp. 3298-3310.
IEEE DOI
2305
Cameras, Target tracking, Clustering algorithms, Airports, Detectors,
Atmospheric modeling, Training, Detection, multicamera tracking,
tracklet association
BibRef
Wu, J.[Ji],
Song, Y.H.[Yong-Hong],
Zhang, Y.[Yuanlin],
Zhu, S.Y.[Si-Yuan],
Wang, Z.[Zezhong],
Zhu, H.[Hengyu],
SA-CenterNet: Scale Adaptive CenterNet for X-RAY Luggage Image
Detection,
ICPR22(4857-4863)
IEEE DOI
2212
Head, Detectors, Inspection, Feature extraction, Real-time systems,
Magnetic heads, Finite element analysis
BibRef
Liu, J.H.[Jun-Hong],
Li, B.P.[Bao-Ping],
A Multi-Task Semantic Segmentation Network for Threat Detection in
X-Ray Security Images,
ICIP22(731-735)
IEEE DOI
2211
Shape, Image edge detection, Splicing, Object detection, Inspection,
Multitasking, Decoding, Intelligent security inspection, multi-task learning
BibRef
Ahmed, A.[Abdelfatah],
Obeid, A.[Ahmad],
Velayudhan, D.[Divya],
Hassan, T.[Taimur],
Damiani, E.[Ernesto],
Werghi, N.[Naoufel],
Balanced Affinity Loss for Highly Imbalanced Baggage Threat
Contour-Driven Instance Segmentation,
ICIP22(981-985)
IEEE DOI
2211
Image segmentation, Manuals, Data models, Security, Task analysis,
X-ray imaging, Imbalanced Threat Detection,
Contour Instance Segmentation
BibRef
Isaac-Medina, B.K.S.[Brian K. S.],
Bhowmik, N.[Neelanjan],
Willcocks, C.G.[Chris G.],
Breckon, T.P.[Toby P.],
Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery,
PBVS22(332-340)
IEEE DOI
2210
Predictive models,
Generative adversarial networks, Generators, Data models, Security
BibRef
Tao, R.S.[Ren-Shuai],
Wei, Y.L.[Yan-Lu],
Jiang, X.J.[Xiang-Jian],
Li, H.N.[Hai-Nan],
Qin, H.T.[Hao-Tong],
Wang, J.K.[Jia-Kai],
Ma, Y.Q.[Yu-Qing],
Zhang, L.[Libo],
Liu, X.L.[Xiang-Long],
Towards Real-world X-ray Security Inspection: A High-Quality
Benchmark And Lateral Inhibition Module For Prohibited Items
Detection,
ICCV21(10903-10912)
IEEE DOI
2203
Computational modeling, Focusing, Inspection, Data models, Safety,
Security, Datasets and evaluation,
Image and video manipulation detection and integrity methods.
BibRef
d'Cruz, A.[Ashwin],
Tegho, C.[Christopher],
Greaves, S.[Sean],
Kermode, L.[Lachlan],
Detecting Tear Gas Canisters With Limited Training Data,
WACV22(1283-1291)
IEEE DOI
2202
Training, Measurement, Training data, Detectors, Object detection,
Rendering (computer graphics), Data models, Analysis and Understanding
BibRef
Bhowmik, N.[Neelanjan],
Gaus, Y.F.A.[Yona Falinie A.],
Breckon, T.P.[Toby P.],
On the Impact of Using X-Ray Energy Response Imagery for Object
Detection Via Convolutional Neural Networks,
ICIP21(1224-1228)
IEEE DOI
2201
Training, Image segmentation, Image resolution, Imaging,
Object detection, Convolutional neural networks, Security,
transferability
BibRef
Dmitruk, K.[Krzysztof],
Denkowski, M.[Marcin],
Mikolajczak, P.[Pawel],
Benedykciuk, E.[Emil],
The Method for Adaptive Material Classification and Pseudo-Coloring of
the Baggage X-Ray Images,
CAIP21(II:75-87).
Springer DOI
2112
BibRef
Hu, Z.[Zheng],
Li, Q.[Qiang],
Fu, G.[Gang],
Xing, Y.X.[Yu-Xiang],
Zhang, L.[Li],
Quad-DIP for X-ray cargo image decomposition,
PBVS21(4345-4353)
IEEE DOI
2109
Training, Deep learning, Correlation,
Generative adversarial networks, Image decomposition
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Isaac-Medina, B.K.S.[Brian K. S.],
Willcocks, C.G.[Chris G.],
Breckon, T.P.[Toby P.],
Multi-view Object Detection Using Epipolar Constraints within
Cluttered X-ray Security Imagery,
ICPR21(9889-9896)
IEEE DOI
2105
Training, Portable computers, Merging, Object detection, Detectors,
Random variables, Multi-view,
epipolar geometry
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Hassan, T.[Taimur],
Werghi, N.[Naoufel],
Trainable Structure Tensors for Autonomous Baggage Threat Detection
Under Extreme Occlusion,
ACCV20(VI:257-273).
Springer DOI
2103
BibRef
Hassan, T.,
Bettayeb, M.,
Akçay, S.,
Khan, S.,
Bennamoun, M.,
Werghi, N.,
Detecting Prohibited Items in X-Ray Images: a Contour Proposal
Learning Approach,
ICIP20(2016-2020)
IEEE DOI
2011
Proposals, X-ray imaging, Tensile stress, Training, Blades,
Image recognition, Robustness, X-ray images, Baggage screening,
Convolution Neural Network
BibRef
Miao, C.J.[Cai-Jing],
Xie, L.X.[Ling-Xi],
Wan, F.[Fang],
Su, C.[Chi],
Liu, H.Y.[Hong-Ye],
Jiao, J.B.[Jian-Bin],
Ye, Q.X.[Qi-Xiang],
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for
Prohibited Item Discovery in Overlapping Images,
CVPR19(2114-2123).
IEEE DOI
2002
BibRef
Castro, F.M.[Francisco Manuel],
Delgado-Escaño, R.[Rubén],
Guil, N.[Nicolás],
Marín-Jiménez, M.J.[Manuel Jesús],
A Weakly-Supervised Approach for Discovering Common Objects in Airport
Video Surveillance Footage,
IbPRIA19(II:296-308).
Springer DOI
1910
BibRef
Vallez, N.[Noelia],
Velasco-Mata, A.[Alberto],
Corroto, J.J.[Juan Jose],
Deniz, O.[Oscar],
Weapon Detection for Particular Scenarios Using Deep Learning,
IbPRIA19(II:371-382).
Springer DOI
1910
BibRef
Fernandez-Carrobles, M.M.[M. Milagro],
Deniz, O.[Oscar],
Maroto, F.[Fernando],
Gun and Knife Detection Based on Faster R-CNN for Video Surveillance,
IbPRIA19(II:441-452).
Springer DOI
1910
BibRef
Steitz, J.M.O.[Jan-Martin O.],
Saeedan, F.[Faraz],
Roth, S.[Stefan],
Multi-view X-Ray R-CNN,
GCPR18(153-168).
Springer DOI
1905
Carry on inspection.
BibRef
Che, J.,
Xing, Y.,
Zhang, L.,
A Comprehensive Solution for Deep-Learning Based Cargo Inspection to
Discriminate Goods in Containers,
PBVS18(1287-12877)
IEEE DOI
1812
Feature extraction, Analytical models, Data models, Containers,
Inspection, X-ray imaging, Task analysis
BibRef
Mery, D.[Domingo],
X-Ray Testing by Computer Vision,
PBVS13(360-367)
IEEE DOI
1309
X-ray testing. Luggage screening or inspection.
BibRef
Mesquita, D.P.[Daniela P.],
Selvaggio, G.[Gianluca],
Cunha, J.R.[Jorge R.],
Leal, C.S.[Cristiano S.],
Image Analysis for Automatic Characterization of Polyhydroxyalcanoates
Granules,
ICIAR13(790-797).
Springer DOI
1307
Luggage screening.
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Alamaniotis, M.,
Gao, R.,
Tsoukalas, L.H.,
Jevremovic, T.,
Intelligent Detection of SNM in Liquid Containers,
WSSIP09(1-4).
IEEE DOI
0906
Detection of special nuclear materials in cargo containers.
BibRef
Axelsson, M.,
Karlsson, M.,
Petersson, H.,
Motion compensation of submillimeter wave 3D imaging radar data for
security screening,
AVSS17(1-5)
IEEE DOI
1806
for people.
airports, millimetre wave imaging, motion compensation,
radar imaging, security, concealed objects, motion compensation,
Transceivers
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Mery, D.,
Katsaggelos, A.K.,
A Logarithmic X-Ray Imaging Model for Baggage Inspection:
Simulation and Object Detection,
PBVS17(251-259)
IEEE DOI
1709
Computational modeling, Dictionaries, Inspection,
Solid modeling, Testing, X-ray, imaging
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Akcay, S.,
Breckon, T.P.,
An evaluation of region based object detection strategies within
X-ray baggage security imagery,
ICIP17(1337-1341)
IEEE DOI
1803
Feature extraction, Object detection, Proposals,
Security, Task analysis, X-ray imaging, Object detection, deep learning
BibRef
Akçay, S.,
Kundegorski, M.E.,
Devereux, M.,
Breckon, T.P.,
Transfer learning using convolutional neural networks for object
classification within X-ray baggage security imagery,
ICIP16(1057-1061)
IEEE DOI
1610
Feature extraction
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Mery, D.[Domingo],
Svec, E.[Erick],
Arias, M.[Marco],
Object Recognition in Baggage Inspection Using Adaptive Sparse
Representations of X-ray Images,
PSIVT15(709-720).
Springer DOI
1602
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Irvine, J.,
Young, M.,
German, S.,
Eaton, R.,
Perceived X-ray image quality for baggage screening,
AIPR15(1-9)
IEEE DOI
1605
X-ray imaging
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Zaila, Y.L.[Yisleidy Linares],
Díaz-Romañach, M.L.B.[Marta L. Baguer],
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A Graph Based Segmentation Strategy for Baggage Scanner Images,
AMDO14(81-93).
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1407
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Kolokytha, S.,
Speller, R.,
Robson, S.,
Three-dimensional imaging of hold baggage for airport security,
CloseRange14(331-336).
DOI Link
1411
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Zhang, J.[Jian],
Zhang, L.[Li],
Zhao, Z.[Ziran],
Liu, Y.H.[Yao-Hong],
Gu, J.P.[Jian-Ping],
Li, Q.A.[Qi-Ang],
Zhang, D.[Duokun],
Joint Shape and Texture Based X-Ray Cargo Image Classification,
PBVS14(266-273)
IEEE DOI
1409
cargo X-Ray image classification
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Bastan, M.[Muhammet],
Yousefi, M.R.[Mohammad Reza],
Breuel, T.M.[Thomas M.],
Visual Words on Baggage X-Ray Images,
CAIP11(I: 360-368).
Springer DOI
1109
Rather than the images, analyze bag-of-words approach for X-Ray images.
BibRef
Yu, G.Q.[Guo-Qiang],
Zhang, J.[Jin],
Zhang, L.[Li],
Chen, Z.Q.[Zhi-Qiang],
Li, Y.J.[Yuan-Jing],
Combining Iterative Inverse Filter with Shock Filter for Baggage
Inspection Image Deblurring,
ACCV06(II:264-273).
Springer DOI
0601
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Novak, D.,
Waterhouse, R.,
Farnham, A.,
Millimeter-wave weapons detection system,
AIPR05(15-20).
IEEE DOI
0510
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Lee, S.S.[Seung-Sin],
Rao, R.M.[Raghuveer M.],
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Noise reduction and object enhancement in passive millimeter wave
concealed weapon detection,
ICIP02(I: 509-512).
IEEE DOI
0210
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Slamani, M.A.[Mohamed-Adel],
Rao, R.M.[Raghuveer M.],
Varshney, P.K.[Pramod K.],
Alford, M.G.[Mark G.],
Ferris, D.[David],
Image Processing Tools for the Enhancement of Concealed Weapon
Detection,
ICIP99(III:518-522).
IEEE DOI
BibRef
9900
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Surveillance Systems, Applied to Retail Business, Shoppers, Shopping .