Surveillance Personnel Behavior Analysis Technology based on Operation Log

Abstract

A large number of operation logs will be generated when surveillance personnel open surveillance video and based on these operation logs, this paper studies the behavior visualization, automatic anomaly detection and abnormal behavior analysis of the surveillance personnel by using data mining, machine learning and other methods. Using the above methods and research, this paper can mine valuable information from the operation log, which can help the surveillance personnel to realize behavior visualization and find abnormal behavior problems during the work, thus effectively avoid the occurrence of security incidents caused by improper operation of the surveillance personnel, and reduce the potential risks in the surveillance process.