Multi-Object Tracking in Satellite Videos Considering Weak Feature Enhancement
Bin Wang, Guorui Ma, Haigang Sui, Yuan Zhou, Haiming Zhang, Junyi Liu · 2024
Satellite video multi-object tracking holds significant importance in national defense security, emergency rescue, urban planning, and various other applications. This task is particularly challenging due to the complex background of remote sensing images and the dynamic nature of spatiotemporal processes. Currently, satellite video object tracking faces issues like erroneous detection and tracking, especially in cases of low contrast and missed detection and tracking for small objects. To address these challenges, this study introduces a method for multi-object tracking in satellite videos that considers both global information and local features of objects. The proposed method also incorporates weak feature enhancement techniques, specifically targeting issues such as low contrast. Extensive experimental verification on Jilin-1 satellite video data has been conducted, yielding excellent results and demonstrating the effectiveness of the proposed approach.