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

Date Created 2018-01-10 (6 years ago)

Commits 30 (last one 16 days ago)

Stargazers 50 (0 this week)

Watchers 4 (0 this week)

Forks 21

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RepositoryStats indexes 599,932 repositories, of these nabulago/anomaly-event-detection is ranked #471,708 (21st percentile) for total stargazers, and #378,864 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #90,767/120,502.

nabulago/anomaly-event-detection is also tagged with popular topics, for these it's ranked: python (#18,809/22430), deep-learning (#7,089/8553), tensorflow (#2,000/2260), opencv (#740/944), anomaly-detection (#260/337)

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nabulago/anomaly-event-detection has Github issues enabled, there are 3 open issues and 0 closed issues.

Homepage URL: https://nabulago.github.io/anomaly-event-detection/

All Topics

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

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The only known language in this repository is Python

updated: 2024-12-31 @ 08:53pm, id: 116951551 / R_kgDOBviJ_w