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GitHub / nabulago / anomaly-event-detection

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 c

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nabulago%2Fanomaly-event-detection

Stars: 50
Forks: 21
Open issues: 3

License: mit
Language: Python
Size: 83 KB
Dependencies parsed at: Pending

Created at: over 7 years ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago

Topics: abnormal-events, anomaly-detection, anomolous-event-detection, appearance-features, deep-learning, denoising-autoencoders, motion, opencv, python, tensorflow

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