Recently, combining multiple features into discriminative correlation filters to improve
tracking representation has shown great potential in object tracking. Existing trackers apply …

Abstract We present Siam R-CNN, a Siamese re-detection architecture which unleashes the
full power of two-stage object detection approaches for visual object tracking. We combine …

End-to-end discriminative trackers improve the state of the art significantly, yet the
improvement in robustness and efficiency is restricted by the conventional discriminative …

The greatest challenge facing visual object tracking is the simultaneous requirements on
robustness and discrimination power. In this paper, we propose a SiamFC-based tracker …

We propose a new Group Feature Selection method for Discriminative Correlation Filters
(GFS-DCF) based visual object tracking. The key innovation of the proposed method is to …

The current Siamese network based on region proposal network (RPN) has attracted great
attention in visual tracking due to its excellent accuracy and high efficiency. However, the …

Accurate bounding box estimation has recently attracted much attention in the tracking
community because traditional multi-scale search strategies cannot estimate tight bounding …

Attributing to material identification ability powered by a large number of spectral bands,
hyperspectral videos (HSVs) have great potential for object tracking. Most hyperspectral …

Unmanned Aerial Vehicles (UAV) have many applications in both commerce and recreation.
However, irresponsibly operated UAVs will pose a threat to public safety. Therefore …

After observing that the features used in most online discriminatively trained trackers are not
optimal, in this paper, we propose a novel and effective architecture to learn optimal feature …