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Suppose you observe a motion of a human body from the camera viewpoint.
Human body parts can be classified into 3 modes: moving mode,
stationary mode, and occlusion mode. To correspond these modes
with the model, we classify the nodes in the model in the same way.
The characteristics of these node modes are described below.
- Moving Mode
A part corresponding to the node labeled the motion mode can be seen
from the camera. A difference image is available to estimate the joint
angles of the node.
- Stationary Mode
A part corresponding to the node labeled the stationary mode can be
seen from the camera. As the node is not moving, there is no area of
it in a difference image.
- Occlusion Mode
A node in this mode can not be seen from the camera. In this case,
we cannot get any information about the joint rotational angles from
the images. So, we apply the inertia assumption to predict the joint
Let be a node set at time t where the nodes are in the
motion mode, and be a set of the stationary mode nodes and
be a set of the occlusion mode nodes.
Mon Apr 7 14:56:47 JST 1997