[HTML][HTML] Small object detection and tracking: a comprehensive review

B Mirzaei, H Nezamabadi-Pour, A Raoof… - Sensors, 2023 - mdpi.com
Object detection and tracking are vital in computer vision and visual surveillance, allowing
for the detection, recognition, and subsequent tracking of objects within images or video …

Clusternet: Detecting small objects in large scenes by exploiting spatio-temporal information

R LaLonde, D Zhang, M Shah - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Object detection in wide area motion imagery (WAMI) has drawn the attention of the
computer vision research community for a number of years. WAMI proposes a number of …

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 …

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 …

Multivehicle object tracking in satellite video enhanced by slow features and motion features

J Wu, X Su, Q Yuan, H Shen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of video satellites, multimoving object tracking in satellite video is
possible and has become a new challenging task. The difficulties are mainly caused by the …

Fast and robust UAV to UAV detection and tracking from video

J Li, DH Ye, M Kolsch, JP Wachs… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) technology is being increasingly used in a wide variety of
applications ranging from remote sensing, to delivery and security. As the number of UAVs …

COCO-Net: A dual-supervised network with unified ROI-loss for low-resolution ship detection from optical satellite image sequences

Q Xu, Y Li, M Zhang, W Li - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Low-resolution ship detection from optical satellite image sequences is critical in high-orbit
remote sensing satellite applications. However, it is still a difficult problem due to the …

Moving vehicle detection in aerial infrared image sequences via fast image registration and improved YOLOv3 network

XX Zhang, X Zhu - International Journal of Remote Sensing, 2020 - Taylor & Francis
Owing to its powerful adaptability and robustness to the weak light, the infrared camera
equipped on the unmanned aerial vehicle is more and more applied for aerial photography …

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 …

[HTML][HTML] Small object detection and tracking in satellite videos with motion informed-CNN and GM-PHD filter

C Aguilar, M Ortner, J Zerubia - Frontiers in Signal Processing, 2022 - frontiersin.org
Small object tracking in low-resolution remote sensing images presents numerous
challenges. Targets are relatively small compared to the field of view, do not present distinct …