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 …
Automatic tuberculosis screening using chest radiographs
Tuberculosis is a major health threat in many regions of the world. Opportunistic infections in
immunocompromised HIV/AIDS patients and multi-drug-resistant bacterial strains have …
immunocompromised HIV/AIDS patients and multi-drug-resistant bacterial strains have …
Deep convolutional neural networks for thermal infrared object tracking
Unlike the visual object tracking, thermal infrared object tracking can track a target object in
total darkness. Therefore, it has broad applications, such as in rescue and video …
total darkness. Therefore, it has broad applications, such as in rescue and video …
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) …
Revisiting the JDL model for information Exploitation
The original Joint Directors of Laboratories (JDL) model was developed in the early 90's,
with revisits in 1998, and 2004. Today, with new technologies of big data, cloud computing …
with revisits in 1998, and 2004. Today, with new technologies of big data, cloud computing …
Hierarchical spatial-aware siamese network for thermal infrared object tracking
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 …
problem as a classification task. However, the objective of the classifier (label prediction) is …
Tracking in aerial hyperspectral videos using deep kernelized correlation filters
B Uzkent, A Rangnekar… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Hyperspectral imaging holds enormous potential to improve the state of the art in aerial
vehicle tracking with low spatial and temporal resolutions. Recently, adaptive multimodal …
vehicle tracking with low spatial and temporal resolutions. Recently, adaptive multimodal …
Aerial vehicle tracking by adaptive fusion of hyperspectral likelihood maps
B Uzkent, A Rangnekar… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Hyperspectral cameras provide unique spectral signatures that can be used to solve
surveillance tasks. This paper proposes a novel real-time hyperspectral likelihood maps …
surveillance tasks. This paper proposes a novel real-time hyperspectral likelihood maps …
Appearance and motion based persistent multiple object tracking in wide area motion imagery
L Sommer, W Krüger, M Teutsch - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Abstract Wide Area Motion Imagery (WAMI) data acquired by an airborne sensor for ground
observation offers great potential for various applications ranging from the protection of …
observation offers great potential for various applications ranging from the protection of …
Real-time vehicle tracking in aerial video using hyperspectral features
Vehicle tracking from a moving aerial platform poses a number of unique challenges
including the small number of pixels representing a vehicle, large camera motion, and …
including the small number of pixels representing a vehicle, large camera motion, and …