[HTML][HTML] Deep learning on multi sensor data for counter UAV applications—A systematic review
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 …
applications, as they prove to be both autonomous and flexible in a variety of environments …
The seventh visual object tracking vot2019 challenge results
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; …
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …
Deeper and wider siamese networks for real-time visual tracking
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 …
accuracy and speed. However, the backbone networks used in Siamese trackers are …
The sixth visual object tracking vot2018 challenge results
Abstract The Visual Object Tracking challenge VOT2018 is the sixth annual tracker
benchmarking activity organized by the VOT initiative. Results of over eighty trackers are …
benchmarking activity organized by the VOT initiative. Results of over eighty trackers are …
Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows
In recent years, deep learning has revolutionized computer vision and has been widely used
for monitoring in diverse visual scenes. However, in terms of some aspects such as …
for monitoring in diverse visual scenes. However, in terms of some aspects such as …
Thermal object detection in difficult weather conditions using YOLO
M Krišto, M Ivasic-Kos, M Pobar - IEEE access, 2020 - ieeexplore.ieee.org
Global terrorist threats and illegal migration have intensified concerns for the security of
citizens, and every effort is made to exploit all available technological advances to prevent …
citizens, and every effort is made to exploit all available technological advances to prevent …
Vision meets drones: A challenge
In this paper we present a large-scale visual object detection and tracking benchmark,
named VisDrone2018, aiming at advancing visual understanding tasks on the drone …
named VisDrone2018, aiming at advancing visual understanding tasks on the drone …
Learning spatially regularized correlation filters for visual tracking
Robust and accurate visual tracking is one of the most challenging computer vision
problems. Due to the inherent lack of training data, a robust approach for constructing a …
problems. Due to the inherent lack of training data, a robust approach for constructing a …
Recent trends in multicue based visual tracking: A review
A Kumar, GS Walia, K Sharma - Expert Systems with Applications, 2020 - Elsevier
In the recent years, multicue visual tracking frameworks have been preferred over single cue
visual tracking approaches to address critical environmental challenges. In literature, it has …
visual tracking approaches to address critical environmental challenges. In literature, it has …
Learning dual-level deep representation for thermal infrared tracking
The feature models used by existing Thermal InfraRed (TIR) tracking methods are usually
learned from RGB images due to the lack of a large-scale TIR image training dataset …
learned from RGB images due to the lack of a large-scale TIR image training dataset …