Research on Target Tracking Algorithm for Substation Inspectors Under Siamese Network

Substation operation and maintenance personnel need to complete the inspection work of the substation on duty. It is very necessary to effectively track the movement trajectory and behavioral safety of the inspectors. In this paper, a convolutional neural network model is used to obtain the videos in the station through a multi-interface video monitoring system, and a Siamese network based on feature fusion is studied to realize the target tracking algorithm for substation maintenance personnel. This algorithm not only effectively realizes the monitoring of the movement trajectory of the inspectors in the substation, but also avoids the problem of casualties caused by working beyond the safety range.