PERCEPTION Research team

Interpretation and Modelling of Images and Videos

Leader: Radu Horaud
Type: Project team
Research center(s): Grenoble
Field: Perception, Cognition and Interaction
Theme: Vision, perception and multimedia interpretation
Collaborator(s): UJF (GRENOBLE), GRENOBLE INP, CNRS, UPMF (GRENOBLE)

Team presentation

The research topic of the PERCEPTION group is to investigate computational models for the problem of mapping images and sounds onto meaning. We address this objective with an interdisciplinary approach: computer vision, auditory scene analysis, machine learning and robotics. In particular, we develop methods for the representation and recognition of visual and auditory events, audio-visual fusion, recognition of human actions, gestures, and speech, and human-robot interaction.

Research themes

Computer vision: spatio-temporal representation of 2D and 3D visual information, action and gesture recognition, 3D sensors, binocular vision, multiple-camera systems,
Auditory scene analysis: binocular hearing, sound source localization and separation, speech communication, sound-event classification
Machine learning: mixture models, supervised and unsupervised mapping methods, graphical models
Robotics: robot vision, robot hearing, human robot interaction