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This paper proposes an edge-aware online tracking pipeline for thermal infrared UAV swarm tracking, featuring the Adaptive Kinematic Kalman Filter (AKKF) that balances efficiency and robustness under challenging conditions.
This paper investigates augmentation techniques for CNN-based classification of multispectral images from visible and thermal infrared cameras, using the ThermalWorld dataset to understand how different augmentations affect classification accuracy.