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Conference Paper
Anomaly Detection based on User Feedback Learning using Multi-layered Surveillance Map
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- Authors
- H.C. Shin, Jiho Chang, Kiin Na
- Issue Date
- 2021-10
- Citation
- International Conference on Control, Automation and Systems (ICCAS) 2021, pp.1-2
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- The introduction of intelligent video security systems is increasing, and wide-range surveillance by utilizing the movement of robots. Methods for solving blind spots are introduced. In the case of monitoring using a robot, it is difficult to process and transmit large-capacity monitoring data due to limitations such as wireless communication, the robot's battery, and computing power. In this study, monitoring was performed using a number of fixed monitoring agents and mobile agents, and monitoring data was converted, transmitted, and processed into a multi-layered monitoring map to solve the problems of computational amount and communication speed. In addition, a method was implemented to continuously improve judgment performance by utilizing user feedback for normal and abnormal cases determined by the system.
- KSP Keywords
- Blind spot, Computational amount, Computing power, Large capacity, Mobile Agents, Monitoring data, User feedback, anomaly detection, feedback learning, security system, video security