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 …
Detection and tracking meet drones challenge
Drones, or general UAVs, equipped with cameras have been fast deployed with a wide
range of applications, including agriculture, aerial photography, and surveillance …
range of applications, including agriculture, aerial photography, and surveillance …
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 …
Recent trends in multicue based visual tracking: A review
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 …
Poi: Multiple object tracking with high performance detection and appearance feature
Detection and learning based appearance feature play the central role in data association
based multiple object tracking (MOT), but most recent MOT works usually ignore them and …
based multiple object tracking (MOT), but most recent MOT works usually ignore them and …
Noscope: optimizing neural network queries over video at scale
Recent advances in computer vision-in the form of deep neural networks-have made it
possible to query increasing volumes of video data with high accuracy. However, neural …
possible to query increasing volumes of video data with high accuracy. However, neural …
The visual object tracking vot2015 challenge results
Abstract The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-
term single-object visual trackers that do not apply pre-learned models of object …
term single-object visual trackers that do not apply pre-learned models of object …
Learning rope manipulation policies using dense object descriptors trained on synthetic depth data
P Sundaresan, J Grannen… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Robotic manipulation of deformable 1D objects such as ropes, cables, and hoses is
challenging due to the lack of high-fidelity analytic models and large configuration spaces …
challenging due to the lack of high-fidelity analytic models and large configuration spaces …
The thermal infrared visual object tracking VOT-TIR2015 challenge results
Abstract The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, aims at
comparing short-term single-object visual trackers that work on thermal infrared (TIR) …
comparing short-term single-object visual trackers that work on thermal infrared (TIR) …
Tracking as online decision-making: Learning a policy from streaming videos with reinforcement learning
J Supancic III, D Ramanan - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
We formulate tracking as an online decision-making process, where a tracking agent must
follow an object despite ambiguous image frames and a limited computational budget …
follow an object despite ambiguous image frames and a limited computational budget …