  The continuous stream of data available from the Atmospheric Imaging Assembly
(AIA) telescopes onboard the Solar Dynamics Observatory (SDO) spacecraft has
allowed a deeper understanding of the Sun. However, the sheer volume of data
has necessitated the development of automated techniques to identify and
analyse various phenomena. In this article, we describe the Coronal Pulse
Identification and Tracking Algorithm (CorPITA) for the identification and
analysis of coronal "EIT waves". CorPITA uses an intensity-profile technique to
identify the propagating pulse, tracking it throughout its evolution before
returning estimates of its kinematics. The algorithm is applied here to a
data-set from February 2011, allowing its capabilities to be examined and
critiqued. This algorithm forms part of the SDO Feature Finding Team initiative
and will be implemented as part of the Heliophysics Event Knowledgebase (HEK).
This is the first fully automated algorithm to identify and track the
propagating "EIT wave" rather than any associated phenomena and will allow a
deeper understanding of this controversial phenomenon.
