Applications, databases and open computer vision research from drone videos and images: a survey

Y Akbari, N Almaadeed, S Al-Maadeed… - Artificial Intelligence …, 2021 - Springer
Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

Anomaly detection in aerial videos with transformers

P **, L Mou, GS **a, XX Zhu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are widely applied for purposes of inspection, search,
and rescue operations by the virtue of low-cost, large-coverage, real-time, and high …

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 …

UIT-ADrone: A novel drone dataset for traffic anomaly detection

TM Tran, TN Vu, TV Nguyen… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Anomaly detection plays an increasingly important role in video surveillance and is one of
the issues that have attracted various communities, such as computer vision, machine …

Tracking vision transformer with class and regression tokens

E Di Nardo, A Ciaramella - Information Sciences, 2023 - Elsevier
Aim of this work is to introduce a novel visual object tracking model based on siamese
network and vision transformer. Tracking is performed by multiple tokens exploiting the …

Multi-level feature interaction for open knowledge base canonicalization

X Sui, Y Zhang, K Song, B Zhou, X Yuan - Knowledge-Based Systems, 2024 - Elsevier
Abstract Open Information Extraction (OpenIE) aims to construct expansive open knowledge
bases (OKBs) by extracting triples (noun phrase, relation phrase, noun phrase) from …

Opportunities and Challenges in Development of Support System for Visually Impaired: A Survey

U Vijetha, V Geetha - … on Cloud Computing, Data Science & …, 2023 - ieeexplore.ieee.org
Over the past few years, the usage of assistive technology by the visually impaired (VI) has
significantly increased worldwide. These devices assist the VI in carrying out daily tasks …

Multitemporal intrinsic image decomposition with temporal–spatial energy constraints for remote sensing image analysis

G Gao, B Liu, X Zhang, X **… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to interference with remote imaging by some natural factors, the multitemporal analysis
ability is limited by the spectral drift between images. In this article, a new approach to …

Transformer-based Spatio-Temporal Unsupervised Traffic Anomaly Detection in Aerial Videos

TM Tran, DC Bui, TV Nguyen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Anomaly detection is an area of video analysis and plays an increasing role in ensuring
safety, preventing risks, and guaranteeing quick response in intelligent surveillance …

A novel recurrent self-evolving fuzzy neural network for consensus decision-making of unmanned aerial vehicles

ZY Chen, Y Meng, RY Wang… - … Journal of Advanced …, 2024 - journals.sagepub.com
Currently, for years, unmanned aerial vehicles have been widely applied in a
comprehensive realm. By enhancing computer photography and artificial intelligence, it can …