Thermal cameras and applications: a survey

R Gade, TB Moeslund - Machine vision and applications, 2014 - Springer
Thermal cameras are passive sensors that capture the infrared radiation emitted by all
objects with a temperature above absolute zero. This type of camera was originally …

Anchor-free small-scale multispectral pedestrian detection

A Wolpert, M Teutsch, MS Sarfraz… - arXiv preprint arXiv …, 2020 - arxiv.org
Multispectral images consisting of aligned visual-optical (VIS) and thermal infrared (IR)
image pairs are well-suited for practical applications like autonomous driving or visual …

Semisupervised charting for spectral multimodal manifold learning and alignment

A Pournemat, P Adibi, J Chanussot - Pattern Recognition, 2021 - Elsevier
For one given scene, multimodal data are acquired from multiple sensors. They share some
similarities across the sensor types (redundant part of the information, also called coupling …

[PDF][PDF] 红外—可见光跨模态的行人检测综述

别倩, 王晓, 徐新, 赵启军, 王正, 陈军, 胡瑞敏 - 中国图象图形学报, 2023 - cjig.cn
可见光图像在光照充足的条件下可以提供一系列辅助检测行人的信息, 如颜色和纹理等信息,
但在低照度场景下表现并不理想. 红外图像虽然不能提供颜色和纹理信息 …

Evaluation of the fusion of visible and thermal image data for people detection with a trained people detector

A Königs, D Schulz - … on Informatics in Control, Automation and …, 2013 - scitepress.org
People detection surely is one of the hottest topics in Computer Vision. In this work we
propose and evaluate the fusion of thermal images and images from the visible spectrum for …

A comparative study of supervised learning algorithms for symmetric positive definite features

A Mian, E Raninen, E Ollila - 2020 28th European Signal …, 2021 - ieeexplore.ieee.org
In recent years, the use of Riemannian geometry has reportedly shown an increased
performance for machine learning problems whose features lie in the symmetric positive …