Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-System
aoso3
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.
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8 data points · 2021-08-01 → 2026-04-01How do you feel about this project?
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Question copied to clipboardWhat is the aoso3/Real-Time-Abnormal-Events-Detection-and-Tracking-in-Surveillance-System GitHub project? Description: "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.". Written in C#. Explain what it does, its main use cases, key features, and who would benefit from using it.
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