Core Concepts
MT-Track introduces a streamlined multi-step temporal modeling framework for enhanced UAV tracking, leveraging historical frames for precise target location.
Abstract
The article introduces MT-Track, a multi-step temporal modeling framework for UAV tracking. It addresses challenges in UAV scenarios like fast motion and small objects by integrating temporal context. The framework consists of a temporal correlation module and a mutual transformer module. MT-Track achieves real-time performance and superior efficacy in UAV tracking benchmarks.
- Siamese-based approaches in UAV tracking.
- Challenges in UAV scenarios.
- Introduction of MT-Track for enhanced UAV tracking.
- Components of the MT-Track framework.
- Performance evaluation on UAV benchmarks.
- Efficiency and real-time performance of MT-Track.
- Comparison with existing UAV tracking methods.
Stats
Comprehensive tests across four renowned UAV benchmarks substantiate the superior efficacy of MT-Track.
Real-time performance at 84.7 FPS on a single GPU.
Real-world test on the NVIDIA AGX hardware platform achieves a speed exceeding 30 FPS.
Quotes
"In recent years, the swift advancements in unmanned aerial vehicles (UAVs) have propelled their widespread use in remote sensing."
"MT-Track achieves competitive performance with impressive efficiency due to the full use of temporal information."