Seminar: Synthetic and privacy-preserving visualization of video sensor networks output
Claudia ARAIMO - intership student
Date: June 10, 2011
Location: Eurecom - salle EN05
In the last years the spread of video cameras in surveillance systems has led to a video information overload. As a result human monitoring activity became more and more expensive or ineffective. Furthermore, such a large amount of data generates important concerns about privacy of recorded people. Here I propose a framework for multicamera videosurveillance system that is able to track people moving in a large site, to extract their trajectories and to project them in real-time on the map of the surveilled areas. Such a system allows a single human operator to effectively monitor human activities in a indoor environment by looking at a single monitor. Indeed my approach consists in synthesizing the output data from a video camera network into the building map of the surveilled areas. Having all the information condensed into such a unique picture allows the summarization of human activities without loss of useful information. Furthermore the privacy of recorded people is preserved since none of sensitive data is showed.
Synthetic and privacy-preserving visualization of video sensor networks output