Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …

Abstract The Visual Object Tracking challenge VOT2019 is the seventh annual tracker
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …

Siamese networks have drawn great attention in visual tracking because of their balanced
accuracy and speed. However, the backbone networks used in Siamese trackers are …

Abstract RGB-Thermal (RGB-T) object tracking receives more and more attention due to the
strongly complementary benefits of thermal information to visible data. However, RGB-T …

We propose an end-to-end tracking framework for fusing the RGB and TIR modalities in
RGB-T tracking. Our baseline tracker is DiMP (Discriminative Model Prediction), which …

Thermal infrared (TIR) pedestrian tracking is one of the important components among
numerous applications of computer vision, which has a major advantage: it can track …

Most thermal infrared (TIR) tracking methods are discriminative, treating the tracking
problem as a classification task. However, the objective of the classifier (label prediction) is …

Background and objectives Surgical procedures such as laparoscopic and robotic surgeries
are popular since they are invasive in nature and use miniaturized surgical instruments for …

Deep learning requires large amounts of annotated data. Manual annotation of objects in
video is, regardless of annotation type, a tedious and time-consuming process. In particular …

Thermal infrared (TIR) visual object tracking has been applied in various applications, such
as pedestrian detection, wildlife observation, surveillance systems, and so on. The tracker …