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All Outputs (6)

Using Compressed Audio-visual Words for Multi-modal Scene Classification (2014)
Conference Proceeding
Kurcius, J., & Breckon, T. (2014). Using Compressed Audio-visual Words for Multi-modal Scene Classification. In Proc. International Workshop on Computational Intelligence for Multimedia Understanding (1-5). https://doi.org/10.1109/IWCIM.2014.7008808

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)
Conference Proceeding
Walger, D., Breckon, T., Gaszczak, A., & Popham, T. (2014). A Comparison of Features for Regression-based Driver Head Pose Estimation under Varying Illumination Conditions. In Proc. International Workshop on Computational Intelligence for Multimedia Understanding (1-5). https://doi.org/10.1109/IWCIM.2014.7008805

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)
Conference Proceeding
Mouton, A., Breckon, T., Flitton, G., & Megherbi, N. (2014). 3D Object Classification in Baggage Computed Tomography Imagery using Randomised Clustering Forests. In Proc. Int. Conf. on Image Processing (5202-5206). https://doi.org/10.1109/ICIP.2014.7026053

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.

A Photogrammetric Approach for Real-time 3D Localization and Tracking of Pedestrians in Monocular Infrared Imagery (2014)
Conference Proceeding
Kundegorski, M., & Breckon, T. (2014). A Photogrammetric Approach for Real-time 3D Localization and Tracking of Pedestrians in Monocular Infrared Imagery. In Proc. SPIE Optics and Photonics for Counterterrorism, Crime Fighting and Defence (1-16). https://doi.org/10.1117/12.2065673

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 A Photogrammetric Approach for Real-time 3D Localization and Tracking of Pedestrians in Monocular Infrared Imagery.

Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo (2014)
Conference Proceeding
Payen de La Garanderie, G., & Breckon, T. (2014). Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo. In M. Valstar, A. French, & T. Pridmore (Eds.), Proceedings of the British Machine Vision Conference (417.1-417.12). https://doi.org/10.5244/C.28.110

We address the issue of improving depth coverage in consumer depth cameras based on the combined use of cross-spectral stereo and near infra-red structured light sensing. Specifically we show that fusion of disparity over these modalities, within the... Read More about Improved Depth Recovery In Consumer Depth Cameras via Disparity Space Fusion within Cross-spectral Stereo.