Object detection, Person tracking, and Person property estimation (PPE) are identical
innovation areas trying to improve their accuracy in different parameters to fit various real …

Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be
tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in …

We propose a ThermalGAN framework for cross-modality color-thermal person re-
identification (ReID). We use a stack of generative adversarial networks (GAN) to translate a …

Multispectral pedestrian detection has received increasing attention in recent years as color
and thermal modalities can provide complementary visual information, especially under …

Thermal cameras have historically been of interest mainly for military applications.
Increasing image quality and resolution combined with decreasing price and size during …

Performing image matching in thermal images is challenging due to an absence of
distinctive features and presence of thermal reflections. Still, in many applications, infrared …

In this paper will be presented an original thermal dataset designed for training machine
learning models for person detection. The dataset contains 7412 thermal images of humans …

Infrared images are widely utilized due to their exceptional anti-interference capabilities.
However, challenges such as low resolution and an absence of detailed texture can impede …

Maritime surveillance contributes in the security of ports, oil platforms, and coastal littoral by
detecting unusual activities such as unlicensed fishing boats, pirate attacks, and human …

Thermal infrared (TIR) images capture temperature in a non-invasive manner, making them
valuable for generating 3D models that reflect the spatial distribution of thermal properties …