Applications, databases and open computer vision research from drone videos and images: a survey
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 …
emerging application attracting significant attention from researchers in various areas of …
Anomaly detection in aerial videos with transformers
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 …
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
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 …
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
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 …
the issues that have attracted various communities, such as computer vision, machine …
Tracking vision transformer with class and regression tokens
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 …
network and vision transformer. Tracking is performed by multiple tokens exploiting the …
Multi-level feature interaction for open knowledge base canonicalization
Abstract Open Information Extraction (OpenIE) aims to construct expansive open knowledge
bases (OKBs) by extracting triples (noun phrase, relation phrase, noun phrase) from …
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
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 …
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 …
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
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 …
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 …
comprehensive realm. By enhancing computer photography and artificial intelligence, it can …