The video was created to demonstrate our clustering-based algorithm
for tracking a dynamically varying number of targets observed by
multiple sensors. The algorithm successfully accommodates data from
several types of sensors, including laser range finders and video
frames that have been transformed into binary detection data. It
shows tracks generated from three separate datasets, including
a basketball game (laser-based data), multiple fish in an aquarium
(video data) and multple ants in a nest (video data).  It shows the
raw data (laser hits and video images), the detection data (from the
video images), the background subtracted data, and the detected
tracks.