anomaly-event-detection
nabulago
Work in progress and needs a lot of changes for now. 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 size and using multiple SVM as a single classifier this is work under progress.
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6 data points · 2021-08-01 → 2023-03-01How do you feel about this project?
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Question copied to clipboardWhat is the nabulago/anomaly-event-detection GitHub project? Description: "Work in progress and needs a lot of changes for now. 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 size and using multiple SVM as a single classifier this is work under progress.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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