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Oldenburg, D.,
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IEEE DOI
0706
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Zhu, Z.G.[Zhi-Gang],
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Zhao, L.[Li],
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MVA(21), No. 4, June 2010, pp. xx-yy.
Springer DOI
1006
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Earlier: A1, A2, Only:
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WACV07(13-13).
IEEE DOI
0702
BibRef
Zhu, Z.G.[Zhi-Gang],
Zhao, L.[Li],
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3D Measurements in Cargo Inspection with a Gamma-Ray Linear Pushbroom
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SafeSecur05(III: 126-126).
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0507
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Zhuge, X.,
Yarovoy, A.G.,
A Sparse Aperture MIMO-SAR-Based UWB Imaging System for Concealed
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IEEE DOI
1101
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A comparison of 3D interest point descriptors with application to
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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],
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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.],
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
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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,
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IEEE DOI
1704
Computer vision
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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.
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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
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Gao, Q.J.[Qing-Ji],
Yin, D.Y.[De-Yu],
Luo, Q.[Qijun],
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.
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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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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
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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
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Fernandez-Carrobles, M.M.[M. Milagro],
Deniz, O.[Oscar],
Maroto, F.[Fernando],
Gun and Knife Detection Based on Faster R-CNN for Video Surveillance,
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1910
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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
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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).
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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).
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0906
Detection of special nuclear materials in cargo containers.
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Axelsson, M.,
Karlsson, M.,
Petersson, H.,
Motion compensation of submillimeter wave 3D imaging radar data for
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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, Computer vision, Dictionaries, Inspection,
Solid modeling, Testing, X-ray, imaging
BibRef
Akcay, S.,
Breckon, T.P.,
An evaluation of region based object detection strategies within
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ICIP17(1337-1341)
IEEE DOI
1803
Feature extraction, Microsoft Windows, Object detection, Proposals,
Security, Task analysis, X-ray imaging, Object detection,
deep learning
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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
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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
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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
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 .