Description
This video 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.  Trajectories are indicated with lines
representing the previous locations of each track. 

The video was created to demonstrate our robust tracking algorithm. 
The algorithm is not restricted by the number of targets, and can
handle targets entering and exiting the field of view at any time.
The tracker is able to accommodate data from several types of
sensors, including laser range finders and video frames
(demonstrated here), that have been transformed into binary detection
data.

Player Information
The video should play without issue in the free QuickTime player.

Contact Information
 - Adam Feldman - storm@cc.gatech.edu
 - Summer Adams - summer@cc.gatech.edu
 - Maria Hybinette - maria@cs.uga.edu
 - Tucker Balch - tucker.balch@cc.gatech.edu
