Infrared and Visible Light Images Fusion Utilizing Object Detection

Fusion of Infrared and Visible-Light Images

Fusion of Infrared and Visible Images for Robust Person Detection

In the current context of increased surveillance and security, more sophisticated and robust surveillance systems are needed. One idea relies on the use of pairs of video (visible spectrum) and thermal infrared (IR) cameras located around premises of interest. To automate the system, a robust person detection algorithm and the development of an efficient technique enabling the fusion of the inf...

Fusion of Thermal Infrared and Visible Images Based on Multi-scale Transform and Sparse Representation

Due to the differences between the visible and thermal infrared images, combination of these two types of images is essential for better understanding the characteristics of targets and the environment. Thermal infrared images have most importance to distinguish targets from the background based on the radiation differences, which work well in all-weather and day/night conditions also in land s...

Object Detection in Infrared Images

This paper describes algorithms for detecting and classifying objects such as tanks and trucks in forward-looking infrared (FLIR) imagery. It summarizes research conducted in the course of a two-year project in the areas of image modeling, preand post-processing, segmentation, feature extraction, and classification. 1. Image models The work on image modeling conducted under this project was con...

Fusion of Infrared and Visible Images for Face Recognition

A number of studies have demonstrated that infrared (IR) imagery offers a promising alternative to visible imagery due to it’s insensitive to variations in face appearance caused by illumination changes. IR, however, has other limitations including that it is opaque to glass. The emphasis in this study is on examining the sensitivity of IR imagery to facial occlusion caused by eyeglasses. Our e...