Team Pulsar

Overall Objectives
Scientific Foundations
Application Domains
New Results
Contracts and Grants with Industry
Other Grants and Activities

Section: Scientific Foundations


Pulsar conducts two main research axes : scene understanding for activity recognition and software engineering for activity recognition.

Scene understanding is an ambitious research topic which aims at solving the complete interpretation problem ranging from low level signal analysis up to semantic description of what is happening in a scene viewed by video cameras and possibly other sensors. This problem implies to solve several issues which are grouped in three major categories: perception, understanding and learning.

Software engineering methods allow to ensure genericity, modularity, reusability, extensibility, dependability, and maintainability. To tackle this challenge, we rely on the correct theoretical foundations of our models, and on state-of-the art software engineering practices such as components, frameworks, (meta-)modeling, and model-driven engineering.


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