Handcrafted and deep trackers: Recent visual object tracking approaches and trends
In recent years, visual object tracking has become a very active research area. An
increasing number of tracking algorithms are being proposed each year. It is because …
increasing number of tracking algorithms are being proposed each year. It is because …
Correlation filters for unmanned aerial vehicle-based aerial tracking: A review and experimental evaluation
Aerial tracking, which has received widespread attention and exhibited excellent
performance, is one of the most active applications in the remote sensing field. In particular …
performance, is one of the most active applications in the remote sensing field. In particular …
Cotracker: It is better to track together
We introduce CoTracker, a transformer-based model that tracks a large number of 2D points
in long video sequences. Differently from most existing approaches that track points …
in long video sequences. Differently from most existing approaches that track points …
Lasot: A high-quality benchmark for large-scale single object tracking
In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object
Tracking. LaSOT consists of 1,400 sequences with more than 3.5 M frames in total. Each …
Tracking. LaSOT consists of 1,400 sequences with more than 3.5 M frames in total. Each …
Trackingnet: A large-scale dataset and benchmark for object tracking in the wild
Despite the numerous developments in object tracking, further development of current
tracking algorithms is limited by small and mostly saturated datasets. As a matter of fact, data …
tracking algorithms is limited by small and mostly saturated datasets. As a matter of fact, data …
[HTML][HTML] Improved anti-occlusion object tracking algorithm using Unscented Rauch-Tung-Striebel smoother and kernel correlation filter
R **a, Y Chen, B Ren - Journal of King Saud University-Computer and …, 2022 - Elsevier
Aiming at the existing problems that object tracking algorithm fails to track under the
influence of occlusion conditions, the paper has improved the Kernel Correlation Filter …
influence of occlusion conditions, the paper has improved the Kernel Correlation Filter …
Discriminative correlation filter with channel and spatial reliability
Short-term tracking is an open and challenging problem for which discriminative correlation
filters (DCF) have shown excellent performance. We introduce the channel and spatial …
filters (DCF) have shown excellent performance. We introduce the channel and spatial …
Beyond correlation filters: Learning continuous convolution operators for visual tracking
Abstract Discriminative Correlation Filters (DCF) have demonstrated excellent performance
for visual object tracking. The key to their success is the ability to efficiently exploit available …
for visual object tracking. The key to their success is the ability to efficiently exploit available …
A benchmark and simulator for UAV tracking
In this paper, we propose a new aerial video dataset and benchmark for low altitude UAV
target tracking, as well as, a photo-realistic UAV simulator that can be coupled with tracking …
target tracking, as well as, a photo-realistic UAV simulator that can be coupled with tracking …
Discriminative scale space tracking
Accurate scale estimation of a target is a challenging research problem in visual object
tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the …
tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the …