Results 111 to 120 of about 50,493 (253)

evsBat: An automated toolkit for tracking and quantifying rapid movement of nocturnal animals using event cameras

Methods in Ecology and Evolution, EarlyView.
Abstract Capturing the high‐speed behaviour of nocturnal animals remains technically challenging because conventional video systems require intense illumination that disrupts natural activity. Event‐based vision sensors (EVS) overcome this constraint, yet their ecological uptake has been slow owing to a lack of software capable of analysing the sparse,
Yu Teshima, Yasuhito Hayashi, Yota Aoki, Emyo Fujioka, Shizuko Hiryu, Shinsuke Kawagucci   +5 more
wiley   +1 more source

High‐throughput information extraction of printed specimen labels from large‐scale digitization of entomological collections using a semi‐automated pipeline

Methods in Ecology and Evolution, EarlyView.
Abstract Natural history museums curate billions of insect specimens, representing an unparalleled record of biodiversity. Although large‐scale digitization has expanded access to specimen images, extracting label metadata remains a major bottleneck, typically requiring time‐intensive manual transcription.
Margot Belot, Joël Tuberosa, Leonardo Preuss, Olha Svezhentseva, Magdalena Claessen, Christian Bölling, Franziska Schuster, Théo Léger   +7 more
wiley   +1 more source

Analysis of the efficiency of recognition models in streaming video

Современная наука и инновации
This article analyzes VGG, MobileNet, and ResNet architectures for medical face mask recognition in streaming video. Deep convolutional neural network is presented by Python libraries: Tensorflow, Keras, and Haar wavelets based on the models of three ...
V. M. Goryaev, G. A. Mankaeva, D. B. Bembitov, E. V. Sumyanova, R. A. Bisengaliev   +4 more
doaj   +1 more source

Lane detecting using OpenCV

Математические структуры и моделирование, 2012
There are several lane detecting methods. Some are simple, some are advanced. This article is overview of methods and description of fast realization of one.
Stopkin, S., Pugin, K., Efimov, S.
openaire   +1 more source

Virtual Canvas using OpenCV

International Journal for Research in Applied Science and Engineering Technology
Abstract: The main purpose of this project is to identify the human gestures according to that specific gesturesit will perform specific tasks. Project are going to use OpenCV library, Python programming language and also we will use colour detection and image segmentation techniques to achieve this. OpenCV is an open source computer vision library for
Santosh Bachkar, Shivam Bangar, Kumar Dalvi, Piyush Anantwar   +3 more
openaire   +1 more source

A general method for detection and segmentation of terrestrial arthropods in images

Methods in Ecology and Evolution, EarlyView.
Abstract Automated monitoring of insects and other arthropods is vital for ecological research and conservation; yet current image recognition tools often lack generalizability across diverse imaging conditions and struggle with varying specimen sizes. This limits their practical utility and wide adoption by ecologists.
Asger Svenning, Guillaume Mougeot, Jamie Alison, Daphne Chevalier, Nisa Chavez Molina, Song‐Quan Ong, Kim Bjerge, Juli Carrillo, Toke Thomas Høye, Quentin Geissmann   +9 more
wiley   +1 more source

The role of generative AI in collaborative problem‐solving of authentic challenges

British Journal of Educational Technology, EarlyView.
Abstract This study investigates undergraduate and postgraduate teamwork in a four‐week ‘Generative AI for Social Good’ hackathon, focusing on how students use GAI tools in authentic problem‐solving within their learning ecology. It examines the factors that foster productive collaboration and explores evidence of AI extending human cognition beyond ...
Nancy Law, Nan Wang, Ming Ma, Zhichun Liu, Leon Lei, Shuhui Feng, Xiao Hu, Jack Tsao   +7 more
wiley   +1 more source

Label Noise in Pathological Segmentation Is Overlooked, Leading to Potential Overestimation of Artificial Intelligence

Cancer Science, EarlyView.
This study evaluated how artificial label noise affects cancer pathology segmentation models, demonstrating that boundary‐dependent noise leads to overestimation of performance metrics, while random noise mixtures further harm generalization. Our results highlight the need for standardized noise‐quantification and mitigation methods and for developing ...
Kenji Harada, Yuichiro Nomura, Daisuke Komura, Shumpei Ishikawa, Shingo Sakashita   +4 more
wiley   +1 more source

Bike Fitting System Based on Digital Image Processing on Road Bike

JOIV: International Journal on Informatics Visualization
This research aims to develop a bike fitting system based on digital image processing for road bikes. The method used in this study involves using the OpenCV and MediaPipe libraries in the Python programming language to detect the rider's body pose from ...
Tigor Hamonangan Nasution, Andreas Sitohang, - Seniman, - Soeharwinto   +3 more
doaj   +1 more source

Scale‐robust fibre orientation analysis of hair using two‐dimensional Fourier transform

International Journal of Cosmetic Science, EarlyView.
We present a simple and robust method to quantify hair fibre orientation using 2D‐DFT. It works with standard images and extracts directional features at multiple scales. This enables objective evaluation of cosmetic treatments and product effects. Abstract Objective To address the current lack of standardized tools for evaluating hair appearance in ...
Motoki Takeda, Sinyoung Lee, Ken Kiyono
wiley   +1 more source