Results 141 to 150 of about 1,365,020 (307)

An Intelligent RGB-D Video System for Bus Passenger Counting

, 2017
The information of the number of passengers getting in/off a vehicle is very important for public bus transport companies. In fact, the operators need to estimate the number of travellers using their vehicles for marketing purposes, for evaluating transit service capacities and allocating the proper number of buses for each connection-line. The goal of
LICIOTTI, Daniele, CENCI, ANNALISA, FRONTONI, EMANUELE, MANCINI, ADRIANO, ZINGARETTI, PRIMO   +4 more
openaire   +1 more source

DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery

Remote Sensing in Ecology and Conservation, EarlyView.
Using drones with thermal‐RGB sensors and a deep learning model (RetinaNet with ResNet‐50), we surveyed non‐breeding waterfowl across restored wetlands in the Mississippi Alluvial Valley. Our model, DuckNet, achieved high accuracy and offers an open‐source, customizable tool for automated waterfowl detection to support conservation monitoring ...
Zack Loken, Kevin M. Ringelman, Anne Mini, J. Dale James, Mike Mitchell   +4 more
wiley   +1 more source

Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In this study, we address the challenge of analyzing worker behaviors in high‐mix, low‐volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern ...
Issei Saito, Tomoaki Nakamura, Toshiyuki Hatta, Wataru Fujita, Shintaro Watanabe, Shotaro Miwa   +5 more
wiley   +1 more source

Spatiotemporal Sensitive Network for Non-Contact Heart Rate Prediction from Facial Videos

Applied Sciences
Heart rate (HR) is an important indicator reflecting the overall physical and mental health of the human body, playing a crucial role in diagnosing cardiovascular and neurological diseases.
Liying Su, Yitao Wang, Dezhao Zhai, Yuping Shi, Yinghao Ding, Guohua Gao, Qinwei Li, Ming Yu, Hang Wu   +8 more
doaj   +1 more source

3D hand reconstruction from RGB-D/RGB video frames in real-time

, 2019
We present a pipeline able to extract 3D real-world measurements from RGB-D images with high accuracy in real-time. A new method bottom-up multi-person for hand-body pose detection evolved from OpenPifPaf has been presented. Two novel training strategies using multiple datasets are presented.
openaire   +1 more source

Portable Radar for Noncontact Heart Rate Monitoring and Estrus Detection in Dairy Cows

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
This study introduces a portable radar system for real‐time monitoring of respiratory and heart rates in dairy cows. It uses millimeter‐wave Frequency Modulated Continuous Wave (FMCW) radar to perform noncontact physiological sensing, reducing behavioral disturbance. The radar system's design prioritizes portability, cost‐effectiveness, and robustness,
Yingxiu Li, Ranran Wang, Fuyang Tian, Yudao Li, Zhuolin Wang, Yuxin Yu, Liping Ma, Xin Lu   +7 more
wiley   +1 more source

Mask R-CNN and Centroid Tracking Algorithm to Process UAV Based Thermal-RGB Video for Drylot Cattle Heat Stress Monitoring

Drones
This study developed and evaluated an algorithm for processing thermal-RGB video feeds captured by an unmanned aerial vehicle (UAV) to automate heat stress monitoring in cattle housed in the drylots.
Keshawa M. Dadallage, Basavaraj R. Amogi, Lav R. Khot, Francisco A. Leal Yepes   +3 more
doaj   +1 more source

Monitoring GPS‐collared moose by ground versus drone approaches: efficiency and disturbance effects

Wildlife Biology, EarlyView.
Efficient wildlife management requires precise monitoring methods, for example to estimate population density, reproductive success, and survival. Here, we compared the efficiency of drone (equipped with a RGB camera) and ground approaches to detect and observe GPS‐collared female moose Alces alces and their calves. We also quantified how drone (n = 42)
Martin Mayer, Erlend Furuhovde, Kristoffer Nordli, Giorgia Myriam Ausilio, Petter Wabakken, Ane Eriksen, Alina L. Evans, Karen Marie Mathisen, Barbara Zimmermann   +8 more
wiley   +1 more source

Seasonal variations and challenges in estimating populations and identifying species of Korean ungulates using drone‐derived thermal orthomosaic maps

Wildlife Biology, EarlyView.
Drones equipped with thermal infrared (TIR) cameras offer significant time and labor savings in estimating wild ungulate populations. However, accurately monitoring forest‐dwelling ungulates remains challenging due to their elusive behavior and complex habitat.
Jinhwi Kim, Donggul Woo
wiley   +1 more source

A Unified Framework for Recognizing Dynamic Hand Actions and Estimating Hand Pose from First-Person RGB Videos

Algorithms
Recognizing hand actions and poses from first-person RGB videos is crucial for applications like human–computer interaction. However, the recognition accuracy is often affected by factors such as occlusion and blurring.
Jiayi Yang, Jiao Liang, Huimin Pan, Yuting Cai, Quanli Gao, Xihan Wang   +5 more
doaj   +1 more source