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About Anomalous Activity Detection For Intelligent Visual Surveillance
The document presents a preliminary report for a project that aims to develop an anomalous activity detection system for intelligent visual surveillance. The system seeks to enable surveillance cameras to detect anomalies in real-time and report them to users, in order to improve safety and security over passive recording systems. It outlines the problem of current surveillance systems relying too heavily on human monitoring and post-incident analysis. The objectives are to develop a system for real-time anomaly detection and triggering of alarms without human supervision using computer vision and deep learning techniques. Application scenarios mentioned include home security and infrastructure monitoring.
Detailed Information
| Author: | ['arunimavijay m'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 36 |
| Language: | English |
| Format: | |
| Price: | FREE |
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