GitHub - VisDrone/VisDrone-Dataset: The dataset for drone …
The benchmark dataset consists of 288 video clips formed by 261,908 frames and 10,209 static images, captured by various drone-mounted cameras, covering a wide range of aspects including location (taken from 14 different cities separated by thousands of kilometers in China), environment (urban and country), objects (pedestrian, vehicles ...
Real-Time Detection for Small UAVs: Combining YOLO and Multi-frame …
To address this issue, we propose the Global-Local YOLO-Motion (GL-YOMO) detection algorithm, which combines You Only Look Once (YOLO) object detection with multi-frame motion detection techniques, markedly enhancing the accuracy and …
Real-Time Detection for Small UAVs: Combining YOLO and Multi-frame …
Oct 10, 2024 · To address this issue, we propose the Global-Local YOLO-Motion (GL-YOMO) detection algorithm, which combines You Only Look Once (YOLO) object detection with multi-frame motion detection...
Vision-Based Drone Detection in Complex Environments: A …
Nov 5, 2024 · In drone visual detection, the first step is to capture scene images containing potential drones through visible or infrared sensors. Then, computer vision techniques are utilized to identify and extract the drones from the images.
GitHub - doguilmak/Drone-Detection-YOLOv7: Introducing a …
In this study, we employ the YOLOv7 architecture, a popular and highly efficient object detection framework, for drone detection. YOLOv7 stands for "You Only Look Once" version 7, which utilizes a single neural network to simultaneously predict bounding boxes and class probabilities for multiple objects in an image.
Real-Time and Accurate Drone Detection in a Video with a Static ...
Drone detection technologies are usually divided into four categories: acoustic, visual, radio-frequency signal-based, and radar [7]. A good balance between price and detection range is achieved using visual drone detection technologies that …
Real-time lightweight drone detection model: Fine-grained ...
Sep 1, 2024 · Recognizing the type of flying drones represents a challenging task for anti-drone systems to reinforce airspace safety and security. To this end, we propose a novel lightweight model able to differentiate between the main types of drones in …
Deep learning-based strategies for the detection and tracking of drones …
Jul 24, 2019 · In order to use memory and time efficiently, we propose a combined multi-frame deep learning detection technique, where the frame coming from the zoomed camera on the turret is overlaid on the wide-angle static camera’s frame.
Multiple object detection and tracking from drone videos based …
Mar 1, 2024 · In alignment with the prevalent approach, we also adopt a detection-based MOT framework for drone vision. The framework relies on object detection tasks, where deep networks are classified into two-stage and single-stage networks. Two-stage networks generate candidate regions and locate them, suitable for high-precision detection.
Real-Time and Accurate Drone Detection in a Video with a …
Jul 10, 2020 · Drone detection technologies are usually divided into four categories: acoustic, visual, radio-frequency signal-based, and radar [7]. A good balance between price and detection range is achieved using visual drone detection technologies that use images of …