Small moving vehicle detection via local enhancement fusion for satellite video

M Shu, Y Zhong, P Lv - International Journal of Remote Sensing, 2021 - Taylor & Francis
Satellite video is an emerging data source for dynamic Earth observation, which provides us
with a new means for large-scale moving vehicle detection and traffic monitoring. However …

A novel dense full-field displacement monitoring method based on image sequences and optical flow algorithm

G Deng, Z Zhou, S Shao, X Chu, C Jian - Applied Sciences, 2020 - mdpi.com
Featured Application This method can be applied to health monitoring of large-scale bridge
structures, and the deformation of bridge structures can be monitored regularly and …

A reliable methodology to estimate cable tension force in cable-stayed bridges using Unmanned Aerial Vehicle (UAV)

GM Guzman-Acevedo, JA Quintana-Rodriguez… - Measurement, 2024 - Elsevier
An alternative methodology to estimate the tension force of cables using computer vision
and Unmanned Aerial Vehicles (UAV) was proposed in this investigation. It was developed …

Spatio-temporal dual-branch network with predictive feature learning for satellite video object segmentation

Y Zhong, M Shu, Z Liu, X Lu - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Satellite video is an important new earth observation data source that can be used to
acquire large-scale dynamic information. Satellite video object segmentation (SVOS) is …

Tracking individuals in surveillance video of a high-density crowd

N Hu, H Bouma, M Worring - Visual Information Processing …, 2012 - spiedigitallibrary.org
Video cameras are widely used for monitoring public areas, such as train stations, airports
and shopping centers. When crowds are dense, automatically tracking individuals becomes …

Evaluation of three optical flow-based observation models for tracking

M Lucena, JM Fuertes… - Proceedings of the 17th …, 2004 - ieeexplore.ieee.org
We study the use of optical flow as a characteristic for tracking. We analyze the behavior of
three flow-based observation models for particle filter algorithms, and compare the results …

Improved detection and tracking of objects in surveillance video

SP Denman - 2009 - eprints.qut.edu.au
Surveillance networks are typically monitored by a few people, viewing several monitors
displaying the camera feeds. It is then very difficult for a human operator to effectively detect …

A comparison between contour and histogrambased observation models for tracking

MJ Lucena, JM Fuertes, N Pérez de la Blanca - 2005 - otik.uk.zcu.cz
In probabilistic tracking tasks, the quality of the observation model used is of prime
importance. In some models, evidence is extracted from the outline of the object while in …

能動的外乱除去制御器(ADRC) を用いたドローンの安定化制御

韓笑, 神村明哉 - ロボティクス・メカトロニクス講演会講演概要集2020, 2020 - jstage.jst.go.jp
抄録 The goal of this research is to design a robust stabilized control of a drone in severe
environments, especially in strong wind areas or package delivery. We adopted the active …