An optimized multi-scale convolutional autoencoder for efficient abnormal event detection using rgb, depth and optical flow data

In this study, we propose a novel framework for detecting abnormal events in surveillance videos, a critical yet challenging task in security applications. This research introduces a robust and efficient solution for video anomaly detection, offering substantial improvements in surveillance systems&...

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