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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.

Home Page: https://nabulago.github.io/anomaly-event-detection/

License: MIT License

Python 100.00%
python opencv tensorflow motion appearance-features deep-learning anomaly-detection abnormal-events anomolous-event-detection denoising-autoencoders

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anomaly-event-detection's Issues

Steps for execution

Hi,

Could you please share the steps for executing the project and the result screen shots you have if any.

Running basic example

Hi, since there is no description in the README.md could you explain how to run this project, just the basic usage?

Code Completeness

HI
I try to run this code but I think the code isn't complete?
Am I right or wrong?

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