Attentive Monitoring of Multiple Video Streams
In this project we shall consider the problem of deploying attention to subsets of the video streams for collating the most relevant data and information of interest related to a given task. We formalize this monitoring problem as a foraging problem.
Fall Detection Using Smartphones
Life expectancy keeps growing and, among elderly people, accidental falls occur frequently. A system able to promptly detect falls would help in reducing the injuries that a fall could cause.
Karate moves recognition
This work aims at automatically recognizing sequences of complex karate movements and giving a measure …
Monitoring Elderly People
Assisted living technologies can be of great importance for taking care of elderly people and helping them to live independently. We propose a monitoring system designed to be as unobtrusive as possible, by exploiting computer vision techniques and visual sensors such as RGB cameras.
Semi-automatic and Automatic Video Annotation
We have developed the iVAT: an interactive Video Annotation Tool. It supports manual, semi-automatic and automatic annotations through the interaction of the user with various detection algorithms.