aoso3 / Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-System

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnormal behaviors: Motion influence map, Pattern recognition models, State event model. For multi-camera tracking, we combined a single camera tracking algorithm with a spatial based algorithm.

aoso3
aoso3
Date Created 2019-10-25 (4 years ago)
Commits 25 (last one 2 years ago)
Stargazers 88 (0 this week)
Watchers 6 (0 this week)
Forks 30
License mit
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RepositoryStats indexes 533,807 repositories, of these aoso3/Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-System is ranked #296,049 (45th percentile) for total stargazers, and #285,264 for total watchers. Github reports the primary language for this repository as C#, for repositories using this language it is ranked #10,623/19,058.

aoso3/Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-System is also tagged with popular topics, for these it's ranked: machine-learning (#4,723/7366),  real-time (#342/513)

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aoso3/Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-System has Github issues enabled, there are 6 open issues and 3 closed issues.

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updated: 2024-06-24 @ 10:11pm, id: 217427400 / R_kgDODPWtyA