LIU42/Surveillance
面向监控视频的异常行为检测系统设计。
This system helps security and operations teams monitor surveillance camera feeds to automatically identify unusual or potentially dangerous events. It takes live video streams or existing video files as input and outputs alerts when abnormal activities are detected, highlighting the exact moments of concern. The primary users are security personnel or facility managers responsible for maintaining safety and preventing incidents.
No commits in the last 6 months.
Use this if you need an automated way to detect unusual behaviors in security camera footage or live video streams without constant manual observation.
Not ideal if you require a system that can understand and interpret complex, nuanced human behaviors or identify specific individuals.
Stars
11
Forks
2
Language
Vue
License
—
Category
Last pushed
Aug 27, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/LIU42/Surveillance"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
blaz-r/SuperSimpleNet
Official implementation of SuperSimpleNet [ICPR 2024, JIMS 2025]
tianyu0207/RTFM
Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature...
tientrandinh/Revisiting-Reverse-Distillation
(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection
eliahuhorwitz/3D-ADS
Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You...
MaticFuc/SALAD
[ICCV 2025] SALAD -- Semantics-Aware Logical Anomaly Detection