Dynamic Field-of-View Object Tracking for Error-Resistant Search

The patent applies dynamics by transitioning from a fixed FoV to a dynamic FoV that adapts based on target tracking state. The system adjusts the search region size in real-time according to target stability, allowing the tracking window to expand when targets are unstable or move rapidly, and contract when targets are stable. This dynamic adjustment prevents error accumulation by maintaining appropriate search regions throughout the tracking process.

The patent implements parameter changes by modifying the FoV size parameter based on target tracking state. The system changes the search region dimensions dynamically, expanding the FoV when prediction confidence is low or target movement is significant, and reducing the FoV when tracking is stable. This parameter adaptation resolves the contradiction by maintaining measurement precision while preventing error accumulation through state-dependent adjustments.

The patent applies partial or excessive action by adjusting the FoV size according to actual tracking needs. When targets are stable, the system uses a smaller search region (partial action), reducing computational power consumption. When targets become unstable or move rapidly, the system expands the search region (excessive action) to maintain tracking robustness. This adaptive approach ensures computational resources are allocated efficiently while maintaining reliability.

The patent implements feedback mechanisms by continuously monitoring target tracking state and using this information to adjust the FoV dynamically. The system evaluates prediction confidence and target stability metrics, then feeds this information back to modify the search region size. This closed-loop control improves tracking robustness by responding to actual tracking conditions while optimizing computational resource usage through state-dependent adjustments.