Results 31 to 40 of about 1,376 (159)
In this manuscript, a new method for the determination of vehicle trajectories using an optimal bounding box for the vehicle is developed. The vehicle trajectory is extracted using images acquired from a camera installed at an intersection based on a ...
Seonkyeong Seong +4 more
doaj +1 more source
To improve the neural network detection accuracy of the electric power bushings in infrared images, a modified algorithm based on the You Only Look Once version 2 (YOLOv2) network is proposed to achieve better recognition results.
Hongshan Zhao, Zeyan Zhang
doaj +1 more source
Diabetes is a chronic disease, if not treated in time may lead to many complications including diabetic foot ulcers (DFU). DFU is a dangerous disease, it needs regular treatment otherwise it may lead towards foot amputation.
Javaria Amin +5 more
doaj +1 more source
Detection of human faces in thermal infrared images [PDF]
The presented study concerns development of a facial detection algorithm operating robustly in the thermal infrared spectrum. The paper presents a brief review of existing face detection algorithms, describes the experiment methodology and selected ...
Marcin Ł. Kowalski +2 more
doaj +1 more source
In recent years, massive outbreaks of the European spruce bark beetle (Ips typographus, (L.)) have caused colossal harm to coniferous forests. The main solution for this problem is the timely prevention of the bark beetle spread, for which it is ...
Anastasiia Safonova +3 more
doaj +1 more source
Effective Multi-Frame Optical Detection Algorithm for GEO Space Objects
The limited resource of Geostationary Earth Orbit (GEO) is precious and most telecommunication, weather and navigational satellites are placed in this orbit.
Yuqi Dai +3 more
doaj +1 more source
In recent years, convolutional neural network (CNN)-based algorithms have been widely used in remote sensing image processing and show tremendous performance in a variety of application fields.
Tianwei Yan +4 more
doaj +1 more source
Object Detection in Specific Traffic Scenes using YOLOv2
object detection framework plays crucial role in autonomous driving. In this paper, we introduce the real-time object detection framework called You Only Look Once (YOLOv1) and the related improvements of YOLOv2. We further explore the capability of YOLOv2 by implementing its pre-trained model to do the object detecting tasks in some specific traffic ...
Shouyu Wang, Weitao Tang
openaire +2 more sources
Real-Time Fuel Truck Detection Algorithm Based on Deep Convolutional Neural Network
This paper presents a new approach by training and improving a convolutional neural network (CNN) based on You Only Look Once version 2 (YOLOv2) to efficiently detect fuel trucks from images in embedded systems.
Hamid R. Alsanad +4 more
doaj +1 more source
DETEKSI HELMET DAN VEST KESELAMATAN SECARA REALTIME MENGGUNAKAN METODE YOLO BERBASIS WEB FLASK
Menurut ILO, setiap tahun ada lebih dari 250 juta kecelakaan di tempat kerja. Penyebab kecelakaan sebanyak 80% dikarenakan kelalaian yang dilakukan oleh pekerja yaitu perilaku tidak aman seperti tidak memakai APD.
Muhammad Hatami +4 more
doaj +1 more source

