Human Behaviour Visualisation
and Simulation for Automatic Video Understanding
Van Thinh VU, François BRÉMOND
and Monique THONNAT
Abstract :
The objective of this work is the visualisation and simulation for automatic
video interpretation. We have
conceived a test framework that generates 3D animations corresponding
to behaviours recognised by an
automatic interpretation system or corresponding to behaviours described
by an expert. Conceiving this
test framework is essential in order to be able to develop and validate
the interpretation process. The
objective of our test framework is (1) to visualise the computation
of the interpretation, (2) to be flexible
(configurable) enough for testing the different configurations of the
interpretation and (3) to be realist
enough to understand what is interpreted. To solve this problem we
have defined six types of model to
represent all the information that is necessary for the interpretation.
First, we propose a model of the scene
context (containing the 3D geometry) and a model for the virtual camera.
Second, we propose an
articulated and hierarchical model for representing the human body
given its sub parts. We propose two
other hierarchical models for modelling human actions and scenarios,
and also a model of scene-scenarios
that gathers all previous models. We have defined a description language
for representing these models.
The obtained results are promising: we have developed a test system
for a given interpretation system and
started evaluating it by generating test animations.
Mots clé: 3D visualisation, 3D animation, simulation, video
understanding, modelling of the human body, human
behaviours and scenes.
Dernière mise à jour :
11/03/02
Catherine.Martin@sophia.inria.fr