Section: Overall Objectives

Highlights of the Year

Stars designs cognitive vision systems for activity recognition based on sound software engineering paradigms.

During this period, we have designed several novel algorithms for activity recognition systems. In particular, we have extended an efficient algorithm for tuning automatically the parameters of the people tracking algorithm.

We have designed a compact system for activity recognition running on a mini-PC which is easily deployable using RGBD video cameras. This algorithm has been tested on more than 70 videos of older adults performing 15 min of physical exercises and cognitive tasks. This evaluation has been part of a large clinical trial with Nice Hospital to characterize the behaviour profile of Alzheimer patients compared to healthy older people.

We have also been able to demonstrate the tracking and the recognition of group behaviours in live in Paris subway. We have stored efficiently in a huge database the meta-data (e.g. people trajectories) generated from the processing of 8 video cameras, each of them lasting several days. From these meta-data, we have automatically discovered few hundreds of rare events, such as loitering, collapsing, ... to display them on the screen of subway security operators.

Monique Thonnat has been at the head of the Inria Bordeaux Center since the first of November 2013. She is still working part-time in Stars team.