Object tracking method and apparatus
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SAMSUNG ELECTRONICS CO LTD
- Filing Date
- 2021-08-25
- Publication Date
- 2026-06-05
AI Technical Summary
Existing neural network models struggle to effectively handle irregularly shaped targets, especially elongated ones, leading to a decline in tracking performance.
By setting suppression regions to balance target object information and background information in the template image, the template feature map is refined. Deep neural networks are used for feature extraction and similarity calculation, and the template is updated to adapt to the shape changes of the target object, thereby improving tracking accuracy.
It improves the accuracy and stability of tracking irregularly shaped objects, reduces performance degradation caused by shape changes, and enhances the robustness of object tracking.
Smart Images

Figure CN115131397B_ABST