Intelligent video surveillance system in factory based on TLD algorithm
Yong Li, Kejie Cai · 2017
There are many key device nodes in factory, in order to ensure these devices working in a safe and stable way, we need to monitor the status of this devices in real-time. The system based on the video surveillance and computer vision methods, to monitor real-time status of equipment and give some feedback to central control room automatically. The web camera site obtains the video information and send it to the monitoring terminal. According to the properties and operational modes of the monitoring targets in a different way, the function of web camera sites can be personalized customization. This paper focuses on the detection and tracking algorithm of moving object in intelligent video surveillance. A real-time TLD motion detection and tracking algorithm is adopted. It is proved that the intelligent video monitoring system has good real-time and high accuracy.