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.