Research on Virtual Scene Moving Target Tracking Algorithm Based on Multi-Channel Display Technology

This study innovatively advocates a virtual scene dynamic entity tracking strategy that integrates multi-window display technology. Its core purpose is to significantly optimize the real-time tracking accuracy and computing performance of multiple targets in the virtual ecosystem. With the help of the multi-angle synchronous drawing of the virtual environment by the multi-window display system, a more delicate spatial information dimension is injected into the tracking process of dynamic entities. The study adopts an optimized multi-target tracking algorithm, which cleverly integrates Kalman filtering and data association technology to achieve accurate positioning and tracking of target entities in complex virtual scenes. A series of simulation test results confirm the practicality and efficiency of the algorithm in virtual scenes. The data show that compared with traditional algorithms, the strategy proposed in this paper has significant advantages in both the accuracy and real-time response capability of target entity tracking, especially when the scene complexity increases. Specifically, in terms of target tracking accuracy, the error rate of this strategy is strictly controlled below 2%; and in terms of real-time performance, the system maintains a stable frame rate of more than $\mathbf{6 0}$ frames per second.