Co-Friend

Co-Friend

Co-FRIEND aims to design a framework for understanding human activities in real environments, through an artificial cognitive vision system, identifying objects and events, and extracting sense from scene observation. It will manage uncertainty and change, and will create analysis meaning.

A heterogeneous sensor network, composed of wide angle and PTZ cameras and GPS vehicle monitoring, will be deployed on Toulouse airport. Multi-data fusion and feedbacks will be exploited to achieve robust detection and efficient tracking of objects in real and complex scenes. The scene understanding will be assisted by machine learning, providing advance reasoning capabilities compliant in a largely unsupervised way to variations and novelties.

Here is a video presentation of the Co-FRIEND project :

Clic here to see other demos.

Co-FRIEND : Cognitive & Flexible learning system operating Robust Interpretation of ExteNded real scenes by multi-sensor Datafusion