Search and rescue operation using UAVs: A case study
Many people go missing in the wild every year. In this paper, the Search and Rescue (SAR)
mission is conducted using a novel system comprising an Unmanned Aerial Vehicle (UAV) …
mission is conducted using a novel system comprising an Unmanned Aerial Vehicle (UAV) …
A survey on applications of unmanned aerial vehicles using machine learning
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …
health, transport, telecommunications and safe and rescue operations. Their adoption can …
Human detection in aerial thermal images using faster R-CNN and SSD algorithms
The automatic detection of humans in aerial thermal imagery plays a significant role in
various real-time applications, such as surveillance, search and rescue and border …
various real-time applications, such as surveillance, search and rescue and border …
Open problems in computer vision for wilderness sar and the search for patricia wu-murad
This paper details the challenges in applying two computer vision systems, an EfficientDET
supervised learning model and the unsupervised RX spectral classifier, to 98.9 GB of drone …
supervised learning model and the unsupervised RX spectral classifier, to 98.9 GB of drone …
Finding nonrigid tiny person with densely cropped and local attention object detector networks in low-altitude aerial images
X Zhang, Y Feng, S Zhang, N Wang… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Finding tiny persons under the drone vision was, is, and remains to be an integral and
challenging task. Unmanned aerial vehicles (UAVs) with high-speed, low-altitude, and multi …
challenging task. Unmanned aerial vehicles (UAVs) with high-speed, low-altitude, and multi …
Semi-supervised person detection in aerial images with instance segmentation and maximum mean discrepancy distance
Detecting sparse, small, lost persons with only a few pixels in high-resolution aerial images
was, is, and remains an important and difficult mission, in which a vital role is played by …
was, is, and remains an important and difficult mission, in which a vital role is played by …
A comparison between various human detectors and CNN-based feature extractors for human activity recognition via aerial captured video sequences
Human detection and activity recognition (HDAR) in videos plays an important role in
various real-life applications. Recently, object detection methods have been used to detect …
various real-life applications. Recently, object detection methods have been used to detect …
Human detection in drone images using yolo for search-and-rescue operations
Today, unmanned aerial vehicles, more commonly known as drones, can be equipped with
high-resolution cameras and embedded GPUs powerful enough to provide effective and …
high-resolution cameras and embedded GPUs powerful enough to provide effective and …
UAVs path planning under a bi-objective optimization framework for smart cities
Unmanned aerial vehicles (UAVs) have been used extensively for search and rescue
operations, surveillance, disaster monitoring, attacking terrorists, etc. due to their growing …
operations, surveillance, disaster monitoring, attacking terrorists, etc. due to their growing …
Detecting humans in search and rescue operations based on ensemble learning
NMK Dousai, S Lončarić - IEEE access, 2022 - ieeexplore.ieee.org
Detection of humans accurately in aerial images is critical for various applications such as
surveillance, detecting and tracking athletes on sports fields, and search and rescue …
surveillance, detecting and tracking athletes on sports fields, and search and rescue …