Date Available
12-7-2011
Year of Publication
2009
Degree Name
Master of Science in Electrical Engineering (MSEE)
Document Type
Thesis
College
Engineering
Department
Electrical Engineering
First Advisor
Dr. Lawrence G. Hassebrook
Abstract
In the modern day, recognition and tracking of face or the iris is potentially one of the most powerful ways of differentiating between an authentic person and an imposter. Our method uses stereo vision to track the 3-Dimensional coordinates of a target equivalent to a person’s eyes and using a pan-tilt unit we target these areas for additional processing such as iris or facial imaging. One of the most important parts involved in tracking is the way the pan-tilt unit is calibrated. There have been techniques in the past where PTZ (Pan-tilt-zoom) digital camera has been used and calibrated using self calibration techniques involving a checker board calibration grid but the tracking error was found to be large in these techniques. We introduce a more accurate form of calibration of the pantilt unit using photogrammetric calibration technique and view the pan-tilt unit as an emulation of a Pinhole Lens Model to detect and track the target. The system is demonstrated on ideal targets.
Recommended Citation
Mehta, Vikas Chandra, "PERFORMANCE OF PAN-TILT TRACKER BASED ON THE PIN-HOLE LENS MODEL" (2009). University of Kentucky Master's Theses. 596.
https://uknowledge.uky.edu/gradschool_theses/596
