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 …

Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

Advanced intelligent surveillance systems are able to automatically analyze video of
surveillance data without human intervention. These systems allow high accuracy of human …

This work addresses the problem of human body segmentation from multi-modal visual cues
as a first stage of automatic human behavior analysis. We propose a novel RGB–depth …

The society is changing towards a new paradigm in which an increasing number of old
adults live alone. In parallel, the incidence of conditions that affect mobility and …

This paper proposes an imaging system for computing sparse depth maps from multispectral
images. A special stereo head consisting of an infrared and a color camera defines the …

Fall detection, especially for elderly people, is a challenging problem which demands new
products and technologies. In this paper a fuzzy model for fall detection and inactivity …

This paper investigates the robustness of a new thermal-infrared pedestrian detection
system under different outdoor environmental conditions. In first place the algorithm for …

This paper presents a robust occupancy analysis system for thermal imaging. Reliable
detection of people is very hard in crowded scenes, due to occlusions and segmentation …