--Example--


 Image with noise

A randomly generated snowy footprint scene is tainted with noise at 10% of the
signal power. The image is generated based upon the known gait of each animal.



Eliminate white space

Scan the snowy scene, eliminating segments of rows and columns in which
only white space exists. These detected areas will not be considered in convolution.



Convolution with White Space Optimization

Each print at every possible orientation is convolved with
each of the "interesting" areas specified in the previous step.



Interpolate Paths

The data points for each animal are fit with a linear approximation.



Convolution with White Space and Gait Optimization

Every print at every orientation is convolved with the first region
returned by the white space function. Probable track locations are calculated
based on location, angle, and gait of the identified animal track.