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LITIV (Laboratoire d'Interprétation et de Traitement d'Images et Vidéo) is a computer vision laboratory studying the analysis of images and videos. More specifically, LITIV focuses in detecting, modelling and tracking objects in visible and infrared videos to understand their behaviors and interactions. The laboratory is also interested in video analysis in the infrared and in the visible spectrum for medical and transportation engineering applications.
The general objective of LITIV is to design methods and algorithms to interpret the action occurring in a scene. The informations of interest are the interactions between humans and the interactions between humans and the objects in their environment. The use of visible cameras allows identifying some interactions in some circumstances, but in the case of similar colors between the scene and persons/objects, the analysis becomes quite difficult. In addition to studying ways to maximize the information that can be extracted in the visible spectrum, the LITIV also proposes to use infrared cameras to introduce thermal information in the analysis of the scene.
Our research projects thus aim to detect, model and track objects/persons and to integrate information from visible and infrared cameras to improve the detection of humans and objects, along with their interactions.
A second topic of interest of LITIV is tracking with (pan-tilt-zoom) PTZ cameras. The interest in using such a camera is a larger coverage of a scene with a single camera. Controlling the camera to perform accurate tracking is the challenge that we are undertaking.
Finally, LITIV is also interested in the contribution of infrared cameras in medical experiments. Infrared, more specifically thermography, allows obtaining temperature measurements in real-time of the body of a subject. Our project aims to improve the body temperature measurements.