Estimating urban activity on high-resolution thermal image sequences
aided by large scale vector maps
In this contribution we describe a method to assess the activity of vehicles
based on airborne image sequences from an infrared camera. At the resolution
of approximately one meter vehicles appear as elongated spots. In urban areas
many additional other objects have the same property. To discriminate vehicles
from these objects we fuse information from IR-images and vector-maps. Besides
evidence from overlapping areas of frames of an IR-sequence is accumulated in
the scene. We also perform grouping of vehicles into rows along the margins of
the roads. These tasks can be automatically performed by a production net. The
generic productions for grouping become feasible through the use of map knowledge
as context.
Michaelsen E, Stilla U (2001)
Estimating urban activity on high-resolution thermal image sequences
aided by large scale vector maps.
In: IEEE/ISPRS Joint workshop on remote sensing and data fusion over urban areas,
Urban 2001.
IEEE, 25-29
(ISBN 0-7803-7059-7)
[ Stilla.de/pub ]