Outputs (10)

Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications (2015)
Journal Article
Kriechbaumer, T., Blackburn, K., Breckon, T., Hamilton, O., & Riva-Casado, M. (2015). Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications. Sensors, 15(12), 31869-31887. https://doi.org/10.3390/s151229892

Autonomous survey vessels can increase the efficiency and availability of wide-area river environment surveying as a tool for environment protection and conservation. A key challenge is the accurate localisation of the vessel, where bank-side vegetat... Read More about Quantitative Evaluation of Stereo Visual Odometry for Autonomous Vessel Localisation in Inland Waterway Sensing Applications.

Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation (2015)
Presentation / Conference Contribution
Webster, D., & Breckon, T. (2015, September). Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation. Presented at Proceedings of IEEE International Conference on Image Processing, Québec City, Canada

The presence of raindrop induced image distortion has a significant negative impact on the performance of a wide range of all-weather visual sensing applications including within the increasingly import contexts of visual surveillance and vehicle aut... Read More about Improved Raindrop Detection using Combined Shape and Saliency Descriptors with Scene Context Isolation.

Posture Estimation for Improved Photogrammetric Localization of Pedestrians in Monocular Infrared Imagery (2015)
Presentation / Conference Contribution
Kundegorski, M., & Breckon, T. (2015, September). Posture Estimation for Improved Photogrammetric Localization of Pedestrians in Monocular Infrared Imagery. Presented at Optics and Photonics for Counterterrorism, Crime Fighting and Defence, Toulouse, France

Target tracking within conventional video imagery poses a significant challenge that is increasingly being addressed via complex algorithmic solutions. The complexity of this problem can be fundamentally attributed to the ambiguity associated with ac... Read More about Posture Estimation for Improved Photogrammetric Localization of Pedestrians in Monocular Infrared Imagery.

Improved 3D Sparse Maps for High-performance Structure from Motion with Low-cost Omnidirectional Robots (2015)
Presentation / Conference Contribution
Cavestany, P., Rodríguez, A., Rodriguez, A., Martínez-Barberá, H., Martinez-Barbera, H., & Breckon, T. (2015, September). Improved 3D Sparse Maps for High-performance Structure from Motion with Low-cost Omnidirectional Robots. Presented at Proceedings of IEEE International Conference on Image Processing, Québec City, Canada

We consider the use of low-budget omnidirectional platforms for 3D mapping and self-localisation. These robots specifically permit rotational motion in the plane around a central axis, with negligible displacement. In addition, low resolution and com... Read More about Improved 3D Sparse Maps for High-performance Structure from Motion with Low-cost Omnidirectional Robots.

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.