Object Tracking in UAV Videos by Multifeature Correlation Filters With Saliency Proposals
Yan Zhang, Yuhui Zheng · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2023
The purpose of object tracking is to locate a given target in image sequence, such as people and vehicles. In recent years, with the development of UAV technology, object tracking in UAV videos has engaged many scholars. It has been widely used in traffic control, water quality inspection, wildlife census and other fields. However, low resolution, scale change, occlusion and other challenges have been restricting the development of the tracker. To solve the aforementioned problems, we put forward multi-feature correlation filters with saliency proposals. First, we use histogram of oriented gradient (HOG) features, gray (I) features and color names (CN) features to heighten the representation information of target, so that our algorithm can accurately locate small targets. Then, we introduce saliency proposals to reposition the occluded target. Finally, we use dynamic update weights instead of the fixed update weights to mitigate the adverse effects caused by template degradation. Experiments demonstrate that our tracker has achieved satisfactory tracking accuracy and AUC scores have reached 0.462, 0.417, and 0.425 on UAV123@10FPS, UAV20L, and UAVDT datasets respectively.