RECOGNITION OF HUMAN ACTIONS IN VIDEO
ACQUIRED BY UNCALIBRATED MOVING CAMERAS
Summary:
Most work in action recognition deals with sequences acquired by
stationary cameras with fixed viewpoints. Due to the camera motion, the
trajectories of the body parts contain not only the motion of the
performing actor but also the motion of the camera. In addition to the
camera motion, different viewpoints of the same action in different
environments result in different trajectories, which can not be matched
using standard approaches. In order to handle these problems, we
propose to use the multi-view geometry between two actions. However,
well known epipolar geometry of the static scenes where the cameras are
stationary is not suitable for our task. Thus, we propose to extend the
standard epipolar geometry to the geometry of dynamic scenes where the
cameras are moving. We demonstrate the versatility of the proposed
geometric approach for recognition of actions in a number of
challenging sequences.
