Kirkendall, B.,
Li, Y.,
Oldenburg, D.,
Imaging Cargo Containers Using Gravity Gradiometry,
GeoRS(45), No. 6, June 2007, pp. 1786-1797.
IEEE DOI
0706
BibRef
Zhu, Z.G.[Zhi-Gang],
Hu, Y.C.[Yu-Chi],
Zhao, L.[Li],
Gamma/X-ray linear pushbroom stereo for 3D cargo inspection,
MVA(21), No. 4, June 2010, pp. xx-yy.
Springer DOI
1006
BibRef
Earlier: A1, A2, Only:
Stereo Matching and 3D Visualization for Gamma-Ray Cargo Inspection,
WACV07(13-13).
IEEE DOI
0702
BibRef
Zhu, Z.G.[Zhi-Gang],
Zhao, L.[Li],
Lei, J.Y.[Jia-Yan],
3D Measurements in Cargo Inspection with a Gamma-Ray Linear Pushbroom
Stereo System,
SafeSecur05(III: 126-126).
IEEE DOI
0507
BibRef
Zhuge, X.,
Yarovoy, A.G.,
A Sparse Aperture MIMO-SAR-Based UWB Imaging System for Concealed
Weapon Detection,
GeoRS(49), No. 1, January 2011, pp. 509-518.
IEEE DOI
1101
BibRef
Flitton, G.T.[Greg T.],
Breckon, T.P.[Toby P.],
Megherbi, N.[Najla],
A comparison of 3D interest point descriptors with application to
airport baggage object detection in complex CT imagery,
PR(46), No. 9, September 2013, pp. 2420-2436.
Elsevier DOI
1305
BibRef
Earlier: A3, A1, A2:
A classifier based approach for the detection of potential threats in
CT based Baggage Screening,
ICIP10(1833-1836).
IEEE DOI
1009
CT baggage scan; Threat detection; Object recognition; 3D feature
descriptors; CT object recognition; 3D SIFT
BibRef
Megherbi, N.[Najla],
Han, J.[Jiwan],
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
BibRef
Flitton, G.T.[Greg T.],
Mouton, A.[Andre],
Breckon, T.P.[Toby P.],
Object classification in 3D baggage security computed tomography
imagery using visual codebooks,
PR(48), No. 8, 2015, pp. 2489-2499.
Elsevier DOI
1505
3D Object classification
BibRef
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
BibRef
Mouton, A.[Andre],
Breckon, T.P.[Toby P.],
Materials-based 3D segmentation of unknown objects from dual-energy
computed tomography imagery in baggage security screening,
PR(48), No. 6, 2015, pp. 1961-1978.
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],
Svec, E.[Erick],
Arias, M.[Marco],
Riffo, V.[Vladimir],
Saavedra, J.M.[Jose M.],
Banerjee, S.[Sandipan],
Modern Computer Vision Techniques for X-Ray Testing in Baggage
Inspection,
SMCS(47), No. 4, April 2017, pp. 682-692.
IEEE DOI
1704
Computer vision
BibRef
Mohammadzade, H.[Hoda],
Ghojogh, B.[Benyamin],
Faezi, S.[Sina],
Shabany, M.[Mahdi],
Critical object recognition in millimeter-wave images with robustness
to rotation and scale,
JOSA-A(34), No. 6, June 2017, pp. 846-855.
DOI Link
1706
Image processing, Pattern recognition, Machine vision, Algorithms.
I.e. baggage inspection.
BibRef
Hussein, N.J.[Nashwan Jasim],
Hu, F.[Fei],
He, F.[Feng],
Multisensor of thermal and visual images to detect concealed weapon
using harmony search image fusion approach,
PRL(94), No. 1, 2017, pp. 219-227.
Elsevier DOI
1708
Multisensory
BibRef
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.
DOI Link
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,
PRL(120), 2019, pp. 112-119.
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
Object Classification on Large-Scale X-Ray Security Images,
IEICE(E103-D), No. 2, February 2020, pp. 454-458.
WWW Link.
2002
BibRef
Greenberg, J.A.,
Ashok, A.,
Gehm, M.E.,
The all-seeing baggage scanner,
Spectrum(57), No. 7, July 2020, pp. 22-27.
IEEE DOI
2006
BibRef
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
detection,
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
BibRef
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
BibRef
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
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
BibRef
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
BibRef
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.
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Zaila, Y.L.[Yisleidy Linares],
Díaz-Romañach, M.L.B.[Marta L. Baguer],
González-Hidalgo, M.[Manuel],
A Graph Based Segmentation Strategy for Baggage Scanner Images,
AMDO14(81-93).
Springer DOI
1407
BibRef
Kolokytha, S.,
Speller, R.,
Robson, S.,
Three-dimensional imaging of hold baggage for airport security,
CloseRange14(331-336).
DOI Link
1411
BibRef
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
BibRef
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
BibRef
Novak, D.,
Waterhouse, R.,
Farnham, A.,
Millimeter-wave weapons detection system,
AIPR05(15-20).
IEEE DOI
0510
BibRef
Lee, S.S.[Seung-Sin],
Rao, R.M.[Raghuveer M.],
Slamani, M.A.[Mohamed-Adel],
Noise reduction and object enhancement in passive millimeter wave
concealed weapon detection,
ICIP02(I: 509-512).
IEEE DOI
0210
BibRef
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 .