In this paper, we develop an online learning-based visual tracking framework that can optimize the target model and estimate the scale variation for object tracking. We propose a recommender-based tracker, which is capable of selecting the …
In the domain of visual tracking, most deep learning-based trackers highlight the accuracy but casting aside efficiency, thereby impeding their real-world deployment on mobile platforms like the unmanned aerial vehicle (UAV). In this work, a novel …
With high efficiency and efficacy, the trackers based on the discriminative correlation filter have experienced rapid development in the field of unmanned aerial vehicle (UAV) over the past decade. In literature, these trackers aim at solving a …
The outstanding computational efficiency of discriminative correlation filter (DCF) fades away with various complicated improvements. Previous appearances are also gradually forgotten due to the exponential decay of historical views in traditional …
Current unmanned aerial vehicle (UAV) visual tracking algorithms are primarily limited with respect to":" (i) the kind of size variation they can deal with, (ii) the implementation speed which hardly meet the real-time requirement. In this work, a …
Visual tracking has yielded promising applications with unmanned aerial vehicle (UAV). In literature, the advanced discriminative correlation filter (DCF) type trackers generally distinguish the foreground from the background with a learned regressor …
Correlation filter (CF) has proven its superb efficiency in visual tracking for unmanned aerial vehicle (UAV) applications. To enhance the temporal smoothness of the filter, many CF-based approaches introduce temporal regularization terms to penalize …
Object tracking has been broadly applied in unmanned aerial vehicle (UAV) tasks in recent years. However, existing algorithms still face difficulties such as partial occlusion, clutter background, and other challenging visual factors. Inspired by the …
Spatial regularization has proven itself to be an effective method in terms of alleviating the boundary effect and boosting the performance of a discriminative correlation filter (DCF) in aerial visual object tracking. However, existing spatial …
Correlation filter-based tracking has been widely applied in unmanned aerial vehicle (UAV) with high efficiency. However, it has two imperfections, i.e., boundary effect and filter corruption. Several methods enlarging the search area can mitigate …