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Durham University

Computer Science


Publication details for Professor Toby Breckon

Adey, P., Bordewich, M., Breckon, T.P. & O.K. Hamilton (2019), Region Based Anomaly Detection With Real-Time Training and Analysis, 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019). Boca Raton, Florida, USA, IEEE, Piscataway, NJ, 495-499.

Author(s) from Durham


We present a method of anomaly detection that is capable of real-time operation on a live stream of images. The real-time performance applies to the training of the algorithm as well as subsequent analysis, and is achieved by substituting the region proposal mechanism used in [9] with one that makes the overall method more efficient. where they generate thousands of regions per image, we generate far fewer but better targeted regions. We also propose a 'convolutional' variant which does away with region extraction altogether, and propose improvements to the density estimation phase used in both variants.