Tracking transforming objects: A benchmark

Y Wu, Y Wang, Y Liao, F Wu, H Ye, S Li - Chinese Conference on Pattern …, 2024 - Springer
Tracking transforming objects holds significant importance in various fields due to the
dynamic nature of many real-world scenarios. By enabling systems accurately represent …

Enabling deformation slack in tracking with temporally even correlation filters

Y Zhang, H Pan, J Wang - Neural Networks, 2025 - Elsevier
Discriminative correlation filters with temporal regularization have recently attracted much
attention in mobile video tracking, due to the challenges of target occlusion and background …

BSTrack: Robust UAV tracking using feature extraction of bilateral filters and sparse attention mechanism

K Wang, Z Wang, X Zhang, M Liu - Expert Systems with Applications, 2025 - Elsevier
In UAV tracking tasks, detailed object information and key features are critical for enhancing
tracking performance. The AlexNet feature extraction network relies predominantly on …

Autonomous UAV Visual Navigation Using an Improved Deep Reinforcement Learning

H Samma, S El-Ferik - IEEE Access, 2024 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicles (UAVs) have grown in popularity for a variety of
purposes, including parcel delivery, search operations for missing persons, and …

[HTML][HTML] Four mathematical modeling forms for correlation filter object tracking algorithms and the fast calculation for the filter

Y Chen, K Chen - Electronic Research Archive, 2024 - aimspress.com
The correlation filter object tracking algorithm has gained extensive attention from scholars
in the field of tracking because of its excellent tracking performance and efficiency. However …