An implementation of paper **Detecting anomalous events in videos by learning deep representations of appearance and motion** on python, opencv and tensorflow. This paper uses the _stacked denoising autoencoder_ for the the _feature_ training on the _appearance_ and _motion flow_ features as input for different window sizes and using _multiple SVM_ as a weighted single classifier this is work under progress if anyone can contribute I would be glad to work.
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