Super resolution low-cost thermal image as part of the fall detection of elderly people

This project concerns a technological solution for the home support of elderly people. The objectives of this device are the detection and prediction of falls of the elderly. For this, a solution based on thermal cameras is envisaged. This technological choice is motivated by the fact that it is a totally passive solution, that thermal thermal imaging cameras do not allow people to be recognized and therefore respect their private lives and that thermal input cameras are very low cost . On the other hand, the major disadvantage of these low cost thermal cameras is their very low resolution. The image has a size of 80×60 pixels (4800 pixels to compare with the 15 mega pixels of the current smartphones). However, this size is insufficient to extract the information needed to predict falls. TO BE CONT’D

Faculty Supervisor:

Javad Alirezaie

Student:

Partner:

Université de Rennes 1

Discipline:

Engineering

Sector:

Education

University:

Toronto Metropolitan University

Program: