17.1.4.1 Surveillance Systems, Applied to Baggage Inspection, Cargo Inspection

Chapter Contents (Back)
Baggage Inspection. Luggage Inspection. Cargo Inspection. Weapons.

Chen, H.M., Varshney, P.K.,
Automatic two-stage IR and MMW image registration algorithm for concealed weapons detection,
VISP(148), No. 4, August 2001, pp. 209-216. 0201
BibRef

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

Nova, E., Romeu, J., Torres, F., Pablos, M., Riera, J.M., Broquetas, A., Jofre, L.,
Radiometric and Spatial Resolution Constraints in Millimeter-Wave Close-Range Passive Screener Systems,
GeoRS(51), No. 4, April 2013, pp. 2327-2336.
IEEE DOI 1304
Screening systems. BibRef

Xiao, Z., Hu, T., Xu, J., Wu, L.,
Millimetre-wave radiometric imaging for concealed contraband detection on personnel,
IET-IPR(5), No. 5, 2011, pp. 375-381.
DOI Link 1108
BibRef

Bertl, S., Detlefsen, J.,
Effects of a Reflecting Background on the Results of Active MMW SAR Imaging of Concealed Objects,
GeoRS(49), No. 10, October 2011, pp. 3745-3752.
IEEE DOI 1110
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.C.[Ji-Chao], 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 Security Images,
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

Yang, H.[Hao], Yang, Z.[Zihan], Hu, A.[Anyong], Liu, C.[Che], Cui, T.J.[Tie Jun], Miao, J.[Jungang],
Unifying Convolution and Transformer for Efficient Concealed Object Detection in Passive Millimeter-Wave Images,
CirSysVideo(33), No. 8, August 2023, pp. 3872-3887.
IEEE DOI 2308
Transformers, Feature extraction, Detectors, Object detection, Convolutional neural networks, Imaging, Computer architecture, intelligent security system BibRef

Ma, B.[Bowen], Jia, T.[Tong], Su, M.[Min], Jia, X.D.[Xiao-Dong], Chen, D.[Dongyue], Zhang, Y.C.[Yi-Chun],
Automated Segmentation of Prohibited Items in X-Ray Baggage Images Using Dense De-Overlap Attention Snake,
MultMed(25), 2023, pp. 4374-4386.
IEEE DOI Code:
WWW Link. 2310
BibRef

Liu, K.J.[Kai-Jun], Lyu, S.J.[Shu-Jing], Lu, Y.[Yue],
Few-Shot Segmentation for Prohibited Items Inspection With Patch-Based Self-Supervised Learning and Prototype Reverse Validation,
MultMed(25), 2023, pp. 4455-4463.
IEEE DOI 2310
BibRef

Liu, K.J.[Kai-Jun], Lyu, S.J.[Shu-Jing], Shivakumara, P.[Palaiahnakote], Blumenstein, M.[Michael], Lu, Y.[Yue],
A New Few-Shot Learning-Based Model for Prohibited Objects Detection in Cluttered Baggage X-Ray Images Through Edge Detection and Reverse Validation,
SPLetters(30), 2023, pp. 1607-1611.
IEEE DOI 2311
BibRef

Zhang, L.B.[Li-Bo], Jiang, L.T.[Lu-Tao], Ji, R.[Ruyi], Fan, H.[Heng],
PIDray: A Large-Scale X-ray Benchmark for Real-World Prohibited Item Detection,
IJCV(131), No. 12, December 2023, pp. 3170-3192.
Springer DOI 2311
BibRef
And: Correction: IJCV(132), No. 1, January 2024, pp. 284-284.
Springer DOI 2402
BibRef

Wang, B.Y.[Bo-Ying], Zhang, L.[Libo], Wen, L.Y.[Long-Yin], Liu, X.L.[Xiang-Long], Wu, Y.J.[Yan-Jun],
Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark,
ICCV21(5392-5401)
IEEE DOI 2203
Image segmentation, Annotations, Inspection, Benchmark testing, Security, Task analysis, Vision applications and systems, Datasets and evaluation BibRef


Liao, H.Y.[Hong-Yu], Huang, B.[Bin], Gao, H.X.[Hong-Xia],
Feature-Aware Prohibited Items Detection for X-Ray Images,
ICIP23(1040-1044)
IEEE DOI 2312
BibRef

Velayudhan, D.[Divya], Ahmed, A.[Abdelfatah], Hassan, T.[Taimur], Bennamoun, M.[Mohammed], Damiani, E.[Ernesto], Werghi, N.[Naoufel],
Context-Aware Transformers for Weakly Supervised Baggage Threat Localization,
ICIP23(3538-3542)
IEEE DOI 2312
BibRef

Isaac-Medina, B.K.S.[Brian K. S.], Yucer, S.[Seyma], Bhowmik, N.[Neelanjan], Breckon, T.P.[Toby P.],
Seeing Through the Data: A Statistical Evaluation of Prohibited Item Detection Benchmark Datasets for X-ray Security Screening,
PBVS23(524-533)
IEEE DOI 2309
BibRef

Duan, L.[Luwen], Wu, M.[Min], Mao, L.J.[Li-Jian], Yin, J.[Jun], Xiong, J.P.[Jian-Ping], Li, X.[Xi],
RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-ray Security Image Synthesis,
CVPR23(22398-22407)
IEEE DOI 2309
BibRef

Khan, N.S.[Nagma S.], Ogura, K.[Kazumine], Cosatto, E.[Eric], Ariyoshi, M.[Masayuki],
Real-time Concealed Weapon Detection on 3D Radar Images for Walk-through Screening System,
WACV23(673-681)
IEEE DOI 2302
Image segmentation, Weapons, Radar detection, Prototypes, Radar, Radar imaging, Applications: Commercial/retail, Social good BibRef

Wu, J.[Ji], Song, Y.H.[Yong-Hong], Zhang, Y.[Yuanlin], Zhu, S.Y.[Si-Yuan], Wang, Z.[Zezhong], Zhu, H.Y.[Heng-Yu],
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 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

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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.], Slamani, M.A.[Mohamed-Adel],
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 -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Surveillance Systems, Applied to Retail Business, Shoppers, Shopping .


Last update:Mar 16, 2024 at 20:36:19