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Outputs (204)

A Review of Automated Image Understanding within 3D Baggage Computed Tomography Security Screening (2015)
Journal Article
Mouton, A., & Breckon, T. (2015). A Review of Automated Image Understanding within 3D Baggage Computed Tomography Security Screening. Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics, 23(5), 531-555. https://doi.org/10.3233/xst-150508

Baggage inspection is the principal safeguard against the transportation of prohibited and potentially dangerous materials at airport security checkpoints. Although traditionally performed by 2D X-ray based scanning, increasingly stringent security r... Read More about A Review of Automated Image Understanding within 3D Baggage Computed Tomography Security Screening.

Robust visual tracking via speedup multiple kernel ridge regression (2015)
Journal Article
Qian, C., Breckon, T. P., & Li, H. (2015). Robust visual tracking via speedup multiple kernel ridge regression. Journal of Electronic Imaging, 24(5), Article 053016. https://doi.org/10.1117/1.jei.24.5.053016

Most of the tracking methods attempt to build up feature spaces to represent the appearance of a target. However, limited by the complex structure of the distribution of features, the feature spaces constructed in a linear manner cannot characterize... Read More about Robust visual tracking via speedup multiple kernel ridge regression.

Real-time construction and visualisation of drift-free video mosaics from unconstrained camera motion (2015)
Journal Article
Breszcz, M., & Breckon, T. (2015). Real-time construction and visualisation of drift-free video mosaics from unconstrained camera motion. Journal of Engineering, 2015(8), 229-240. https://doi.org/10.1049/joe.2015.0016

This work proposes a novel approach for real-time video mosaicking facilitating drift-free mosaic construction and visualisation, with integrated frame blending and redundancy management, that is shown to be flexible to a range of varying mosaic scen... Read More about Real-time construction and visualisation of drift-free video mosaics from unconstrained camera motion.

Geometrical approach for automatic detection of liquid surfaces in 3D computed tomography baggage imagery (2015)
Journal Article
Chermak, L., Breckon, T., Flitton, G., & Megherbi, N. (2015). Geometrical approach for automatic detection of liquid surfaces in 3D computed tomography baggage imagery. The Imaging Science Journal, 63(8), 447-457. https://doi.org/10.1179/1743131x15y.0000000019

This study presents a novel method for liquid detection within three-dimensional (3D) computed tomography (CT) baggage inspection imagery. Liquid detection within airport security is currently of significant interest due to security threats associate... Read More about Geometrical approach for automatic detection of liquid surfaces in 3D computed tomography baggage imagery.

Object Classification in 3D Baggage Security Computed Tomography Imagery using Visual Codebooks (2015)
Journal Article
Flitton, G., Mouton, A., & Breckon, T. (2015). Object Classification in 3D Baggage Security Computed Tomography Imagery using Visual Codebooks. Pattern Recognition, 48(8), 2489-2499. https://doi.org/10.1016/j.patcog.2015.02.006

We investigate the performance of a Bag of (Visual) Words (BoW) object classification model as an approach for automated threat object detection within 3D Computed Tomography (CT) imagery from a baggage security context. This poses a novel and unique... Read More about Object Classification in 3D Baggage Security Computed Tomography Imagery using Visual Codebooks.

Materials-Based 3D Segmentation of Unknown Objects from Dual-Energy Computed Tomography Imagery in Baggage Security Screening (2015)
Journal Article
Mouton, A., & Breckon, T. (2015). Materials-Based 3D Segmentation of Unknown Objects from Dual-Energy Computed Tomography Imagery in Baggage Security Screening. Pattern Recognition, 48(6), 1961-1978. https://doi.org/10.1016/j.patcog.2015.01.010

We present a novel technique for the 3D segmentation of unknown objects from cluttered dual-energy Computed Tomography (CT) data obtained in the baggage security-screening domain. Initial materials-based coarse segmentations, generated using the Dual... Read More about Materials-Based 3D Segmentation of Unknown Objects from Dual-Energy Computed Tomography Imagery in Baggage Security Screening.

Using Compressed Audio-visual Words for Multi-modal Scene Classification (2014)
Presentation / Conference Contribution
Kurcius, J., & Breckon, T. (2014, November). Using Compressed Audio-visual Words for Multi-modal Scene Classification. Presented at Proc. International Workshop on Computational Intelligence for Multimedia Understanding

We present a novel approach to scene classification using combined audio signal and video image features and compare this methodology to scene classification results using each modality in isolation. Each modality is represented using summary feature... Read More about Using Compressed Audio-visual Words for Multi-modal Scene Classification.

A Comparison of Features for Regression-based Driver Head Pose Estimation under Varying Illumination Conditions (2014)
Presentation / Conference Contribution
Walger, D., Breckon, T., Gaszczak, A., & Popham, T. (2014, November). A Comparison of Features for Regression-based Driver Head Pose Estimation under Varying Illumination Conditions. Presented at Proc. International Workshop on Computational Intelligence for Multimedia Understanding

Head pose estimation provides key information about driver activity and awareness. Prior comparative studies are limited to temporally consistent illumination conditions under the assumption of brightness constancy. By contrast the illumination condi... Read More about A Comparison of Features for Regression-based Driver Head Pose Estimation under Varying Illumination Conditions.

3D Object Classification in Baggage Computed Tomography Imagery using Randomised Clustering Forests (2014)
Presentation / Conference Contribution
Mouton, A., Breckon, T., Flitton, G., & Megherbi, N. (2014, October). 3D Object Classification in Baggage Computed Tomography Imagery using Randomised Clustering Forests. Presented at Proc. International Conference on Image Processing

We investigate the feasibility of a codebook approach for the automated classification of threats in pre-segmented 3D baggage Computed Tomography (CT) security imagery. We compare the performance of five codebook models, using various combinations of... Read More about 3D Object Classification in Baggage Computed Tomography Imagery using Randomised Clustering Forests.