Abstract: This research investigates the application of a novel LSTM Convolutional Autoencoder (LSTM-CAE) framework for video anomaly detection, utilizing the UCSD Anomaly Detection Dataset.
Abstract: Video-based event recognition systems are integral to numerous applications ranging from security surveillance to automated content analysis and interaction in smart environments. This ...