This project provided MIT Lincoln Laboratory Group 108 analysts with a tracker to automate the localization of targets in infrared imagery captured by the Airborne Infrared Imager. The tracker utilizes thresholding-based target identification and exploits two spatio-temporal signal processing techniques to attenuate background clutter. The first, a frame differencing technique, employs Scale-Invariant Feature Transform feature detection, image registration, and temporal differencing to subtract background clutter. The second, a spatial filter, emphasizes point targets and attenuates low frequency clutter. The tracker’s performance was evaluated in terms of the tracker failure rate and error to study the effects of spatio-temporal processing on target tracking.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Rude, Benjamin Steven
• Banco, Daniel 
• Zawatsky, Matthew David

Contributors

• Curry, Sarah
• Theriault, Joseph
• Fenn, Emily
• Basile, Lisa

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-101414-164159

Advisor

• Iannacchione, Germano S.
• Clancy, Edward A.

Year

• 2014

Center

• MIT Lincoln Laboratory-Lexington, Massachusetts Project Center - MQP

Sponsor

• MIT Lincoln Laboratory

Date created

• 2014-10-14

Resource type

• Major Qualifying Project

Major

• Physics

Rights statement

• In Copyright

Last modified

• 2023-09-20