[HTML][HTML] Development of a novel lightweight CNN model for classification of human actions in UAV-captured videos

NA Othman, I Aydin - Drones, 2023 - mdpi.com
There has been increased attention paid to autonomous unmanned aerial vehicles (UAVs)
recently because of their usage in several fields. Human action recognition (HAR) in UAV …

Ground-to-aerial person search: Benchmark dataset and approach

S Zhang, Q Yang, D Cheng, Y Xing, G Liang… - Proceedings of the 31st …, 2023 - dl.acm.org
In this work, we construct a large-scale dataset for Ground-to-Aerial Person Search, named
G2APS, which contains 31,770 images of 260,559 annotated bounding boxes for 2,644 …

[HTML][HTML] Simulation-Based Optimization of Path Planning for Camera-Equipped UAVs That Considers the Location and Time of Construction Activities

Y Huang, A Hammad - Remote Sensing, 2024 - mdpi.com
Automated progress monitoring of construction sites using cameras has been proposed in
recent years. Although previous studies have tried to identify the most informative camera …

A New UAV-Based Social Distance Detector for COVID-19 Outbreaks Reduction, Using IoT, Computer Vision and Deep Learning Technologies.

NA Othman, I Aydin - Traitement Du Signal, 2022 - search.ebscohost.com
Nowadays, we are living in a dangerous environment and our health system is under the
threatened causes of Covid19 and other diseases. The people who are close together are …

[Retracted] A Multimodal Information Fusion Model for Robot Action Recognition with Time Series

X Zhang, H Li, M Qian - Journal of Electrical and Computer …, 2022 - Wiley Online Library
The current robotics field, led by a new generation of information technology, is moving into
a new stage of human‐machine collaborative operation. Unlike traditional robots that need …

VT-BPAN: vision transformer-based bilinear pooling and attention network fusion of RGB and skeleton features for human action recognition

Y Sun, W Xu, X Yu, J Gao - Multimedia Tools and Applications, 2023 - Springer
Abstract Recent generation Microsoft Kinect Camera captures a series of multimodal signals
that provide RGB video, depth sequences, and skeleton information, thus it becomes an …

A New Efficient-Attention Based Disaster Classification for Emergency Monitoring

I Aydin, Y Karabulut - 2024 28th International Conference on …, 2024 - ieeexplore.ieee.org
Natural disasters such as earthquakes, floods and storms have increased today due to
climate change. Since infrastructure problems often occur in places where natural disasters …

[PDF][PDF] Camshift Algorithm with GOA-Neural Network for Drone Object Tracking

LSK Vatsavai, KSV Mantena - Ingenierie des Systemes d' …, 2023 - researchgate.net
Accepted: 2 April 2023 Detecting objects in scenes filmed by drones is a trendy new activity.
Since drones are constantly changing altitude, the magnitude of the objects they encounter …