Dual-attention-based feature aggregation network for infrared and visible image fusion

Z Tang, G **ao, J Guo, S Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Infrared and visible image fusion aims to produce fused images which retain rich texture
details and high pixel intensity in the source images. In this article, we propose a dual …

Non-Contact Vision-Based Techniques of Vital Sign Monitoring: Systematic Review

L Saikevičius, V Raudonis, G Dervinis, V Baranauskas - Sensors, 2024 - mdpi.com
The development of non-contact techniques for monitoring human vital signs has significant
potential to improve patient care in diverse settings. By facilitating easier and more …

Camera-based physiological measurement: Recent advances and future prospects

J Wang, C Shan, L Liu, Z Hou - Neurocomputing, 2024 - Elsevier
Camera-based measurement of vital signs utilizes imaging equipment to measure
physiological changes by analyzing human body images. The contactless physiological …

FeverNet: Enabling accurate and robust remote fever screening

M Yan, J Qian, H Shao, L Luo, J Yang - Pattern Recognition, 2024 - Elsevier
Remote human fever screening via thermal infrared imaging helps reduce the risk of
respiratory disease transmission and plays an important role in public health monitoring …

FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing

J Joshi, SS Agaian, Y Cho - arxiv preprint arxiv:2411.01542, 2024 - arxiv.org
Remote photoplethysmography (rPPG) enables non-invasive extraction of blood volume
pulse signals through imaging, transforming spatial-temporal data into time series signals …

TranPulse: Remote Photoplethysmography Estimation with Time-Varying Supervision to Disentangle Multi-Physiologically Interference

H Shao, L Luo, J Qian, S Chen, C Hu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Physical signs of the body that are too subtle to be observed by human eyes can reflect
significant health indicators. Although many vision-based approaches have been devoted to …

Region of Interest Analysis Using Delaunay Triangulation for Facial Video-Based Heart Rate Estimation

H Gao, C Zhang, S Pei, X Wu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Selecting a reliable region of interest (ROI) is essential when estimating the blood volume
pulse (BVP) signal through contactless remote photoplethysmography (rPPG) using facial …

Lightweight and interpretable convolutional neural network for real-time heart rate monitoring using low-cost video camera under realistic conditions

Y Liu, X Guo, Y Zhang - Biomedical Signal Processing and Control, 2024 - Elsevier
Recent research has shown that a person's heart rate (HR) can be estimated using video
data through remote photoplethysmography (rPPG). However, this approach is faced with …

A novel infrared and visible image fusion network based on cross-modality reinforcement and multi-attention fusion strategy

B Qi, Y Zhang, T Nie, D Yu, H Lv, G Li - Expert Systems with Applications, 2025 - Elsevier
Infrared and visible image fusion focuses on the integration of complementary information,
whose fused results with abundant texture details and salient targets can cater for human …

Summit Vitals: Multi-Camera and Multi-Signal Biosensing at High Altitudes

K Liu, J Tang, Z Jiang, Y Wang, X Liu, D Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Video photoplethysmography (vPPG) is an emerging method for non-invasive and
convenient measurement of physiological signals, utilizing two primary approaches: remote …