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R. Horaud-Exploiting the Complementarity Between Vision and Audio for The Dynamic Analysis of People

27 Mar 2018   16:00

In human-robot interaction one major challenge is the design of methods enabling a group of people to communicate with a robot. Unlike dyadic interaction, the robot is faced with the problem of associating temporal segments of speech with participants, all in the presence of visual clutter, overlapping speech, and reverberation. For example, the robot should be able to recognize who is the speaker and who are the listeners, and to pop into the conversation at the right moment. We address these problems by fusing audio information, visual information and robot control.
I will overview recent research carried out by the Perception group at INRIA Grenoble.

Place
KN:G-205
Contact person
Ing. Vojtěch Franc, Ph.D., xfrancv@fel.cvut.cz