Publications by authors named "Yaxuan Pang"
Article Synopsis
- Drone aerial imaging is becoming crucial due to advancements in optical sensor technology, but efficient multi-object tracking remains a challenge, especially with traditional methods that separate identification from tracking.
- A new Transformer-based framework is proposed, which integrates object detection and tracking into one process using self-attention mechanisms, simplifying the tracking pipeline and improving performance significantly.
- The system employs innovative techniques like trajectory detection label matching and cross-frame self-attention to enhance tracking accuracy and stability, with experimental results validating its effectiveness on datasets like VisDrone and UAVDT.
