SkiddieAhn/Paper-VideoPatchCore

[ACCV 2024] PyTorch Implementation of the Paper 'VideoPatchCore': Official Version

31
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Emerging

This project helps operations engineers and security personnel automatically detect unusual events in surveillance video streams. It takes in video footage from cameras and identifies "anomalies" – actions or objects that deviate from normal patterns – outputting highlighted video segments where these unusual events occur. This allows staff to quickly pinpoint and investigate potential incidents without constant manual monitoring.

No commits in the last 6 months.

Use this if you need an automated system to flag unusual occurrences in continuous video feeds, especially in environments like industrial facilities, public spaces, or surveillance settings, to improve safety or security.

Not ideal if you're looking for a general-purpose object detection tool, or if your primary need is for human activity recognition rather than identifying deviations from expected behavior.

video-surveillance security-monitoring anomaly-detection operations-management event-detection
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

31

Forks

2

Language

Python

License

MIT

Last pushed

Sep 23, 2025

Commits (30d)

0

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