Description: Tracking people in a dense crowd is a challenging problem
for a single camera tracker due to occlusions and extensive
motion that make human segmentation difficult. In this
paper we suggest a method for simultaneously tracking all
people in a dense crowd using a set of cameras with overlapping
fields of view. To overcome occlusions, the cameras
are placed at a high elevation and only people’s heads
are tracked. Head detection is still difficult since each foreground
region may consist of multiple subjects. By combining
data from several views, height information is extracted
and used for head segmentation.
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