Abstract: Disclosed is a tracking and identification method for multiple vessel targets, devices, electronic device, and storage media. The method comprises: determining the current position of the vessel based on effective AIS data, and projecting it into an image to obtain the visual motion trajectory of the vessel; obtaining target detection boxes corresponding to multiple vessels based on video surveillance data; determining an occluded area based on the target detection boxes of multiple vessels at the previous time, determining the predicted detection box of the occluded area, and loading the appearance features of the predicted detection boxes as the appearance features extracted at the last time before occlusion; integrating effective AIS data from multiple vessels into video surveillance data to determine the vessel's identity. This disclosure can solve the problem of anti-occlusion tracking for vessels in complex vessel navigation scenarios such as severe occlusion and complete occlusion.

Abstract: The embodiments of the present application provide a method and apparatus for tracking and controlling virtual marshalling trains, an electronic device, and a readable storage medium, which is intended to balance the running safety and the utilization of the railway resources. In the present application, the running state data of the target train is obtained, the target control operation corresponding to the running state data is determined from the plurality of preset control operations based on the preset reinforcement learning model, and the control of the target train is implemented according to the target control operation. In addition, the reward value corresponding to the previous control operation of the target control operation is determined according to the distance contained in the running state data, and the reinforcement learning model is updated according to the reward value.