A visual target tracking method, system and device based on multi-modal fusion and a storage medium
By decoupling the visual target tracking task into label optical flow tracking and target tracking subtasks, and introducing high-precision visual label detection, a multi-hypothesis fusion strategy and a closed-loop feedback mechanism are adopted to solve the accuracy and stability problems of visual target tracking in complex environments, thus achieving high-precision and stable target tracking.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SOUTHEAST UNIV
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing visual target tracking methods are not accurate enough or prone to drift when faced with target deformation, occlusion, and changes in lighting. Furthermore, the multi-sensor fusion strategy is simple and lacks an effective feedback mechanism, which leads to a decline in system performance in complex environments.
The visual target tracking task is decoupled into two parallel subtasks: tag optical flow tracking and target tracking. High-precision visual tag detection is introduced as an anchor point, and dynamic correction is performed through a fusion filter. A multi-hypothesis fusion strategy and a closed-loop feedback mechanism triggered by visual tag detection are adopted to achieve reliability assessment and intelligent fusion of the tracking source.
It improves the stability and adaptability of visual target tracking, ensuring high-precision target tracking in complex environments. It suppresses tracking drift through visual marker detection and provides intuitive feedback on position reliability.
Smart Images
Figure CN122416338A_ABST