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Pedestrian and Automatic Doors Abnormal Interactions Detection using Multi-Task Self-Supervised Learning.

, , , and . BMVC Workshop, BMVA Press, (2023)

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Hazardous Events Detection in Automatic Train Doors Vicinity Using Deep Neural Networks., , , , , and . AVSS, page 1-7. IEEE, (2021)Application of Rail Segmentation in the Monitoring of Autonomous Train's Frontal Environment., , , , and . ICPRAI (1), volume 13363 of Lecture Notes in Computer Science, page 185-197. Springer, (2022)RailSet: A Unique Dataset for Railway Anomaly Detection., , , , , and . IPAS, page 1-6. IEEE, (2022)Audio Events Detection in Noisy Embedded Railway Environments., , , , and . EDCC Workshops, volume 1279 of Communications in Computer and Information Science, page 20-32. Springer, (2020)Pedestrian and Automatic Doors Abnormal Interactions Detection using Multi-Task Self-Supervised Learning., , , and . BMVC Workshop, BMVA Press, (2023)Audio Events Detection in Public Transport Vehicle., , and . ITSC, page 733-738. IEEE, (2006)A Colour Correlation-Based Stereo Matching Using 1D Windows., , and . SITIS, page 702-710. IEEE Computer Society, (2007)Velocity selective filters recursively implemented in the spatiotemporal domain., , and . IEEE Trans. Image Processing, 15 (6): 1601-1609 (2006)Single-Camera Stereovision setup., , and . ICCVG, volume 32 of Computational Imaging and Vision, page 173-178. Springer, (2004)Level fusion analysis of recurrent audio and video neural network for violence detection in railway., , , and . EUSIPCO, page 563-567. IEEE, (2022)