Research on Real-time Tracking Image System of Moving Targets in Virtual Scenes Based on Multi-channel Display Technology

This research focuses on the real-time tracking challenges of dynamic entities in virtual environments, and innovatively conceives a real-time tracking image architecture for dynamic entities based on multi-window imaging technology. This architecture leverages multi-window imaging technology to significantly improve the immersive experience and interactive performance of virtual scenes, and simultaneously adopts optical flow strategies to achieve accurate tracking of dynamic entities. This algorithm can quickly identify and capture the action intelligence of multiple dynamic entities in complex situations, and make precise inferences about the action paths of the entities. The architecture presents a full-view perspective of the virtual scene through multi-window imaging facilities, ensuring that users can monitor the action status of dynamic entities in real time from multiple perspectives. The simulation evaluation results show that this architecture exhibits a high level of tracking accuracy and response rate in multi-entity scenarios. Experimental data show that the tracking deviation of the architecture is controlled within 2%, and a full-cycle tracking operation can be achieved within 50 milliseconds. Compared with traditional algorithms, the optimized optical flow strategy has particularly outstanding performance advantages under complex backgrounds and multi-entity interference.