Amitabha Mukerjee, IIT Kanpur, India and
Hans-Hellmut Nagel, Uni-Karlsruhe, Germany
Abstract
System that analyze video data generate voluminous output that is
impossible to scrutinize manually. This work builds on past work that
generates conceptual descriptions (abstractions) of visual events in
the traffic domain. Based on this, synthetic image sequences are
reconstructed for the car maneuvers. The parameterized vehicle model
is projected onto a specific lane in a static image and is maneuvered
by means of a motion model whose inputs are provided by decoding the
conceptual description. Various cases from simple - i.e. a car on a
straight road - to more complex maneuver sequences, for example lane
changing, are to be analyzed. This provides an easy method for humans
to verify the output of a video analysis. It is also of interest on
its own as a reconstruction from abstract motion description, eg: in
video search or in movie generation.
[Thesis List]
[ME Home Page]