Amos Johnson Jr., PH.D.
Science, Technology, Engineering and Mathematics Division Faculty
- Associate Professor, Computer Science
Dr. Amos Johnson’s research background is in pattern recognition and pattern discovery.
He has developed pattern recognition algorithms to identify people from their walking patterns and created algorithms to discover patterns in video surveillance data. As an associate professor, he has focused on providing students with the best teaching instruction possible and creating enhancements to their learning process in computer science.
- Interactive Visual Art Modules
Using image recognition techniques to interact with a virtual reality world, we studied
the effectiveness of using non-traditional input devices and simulation environments
that include artistic elements to increase a student’s interest in science, technology,
engineering, and math.
- Learning Variations of a Single Predefined-Activity
Created soft systems to learn the various ways a single predefined activity may occur
from a limited amount of visual data of the activity. Using this information, the
system will classify a new instance of the activity as either belonging to one of the
many variations of the activity or as an abnormally.
- Gait Recognition
Our gait-recognition method recovers static body and stride parameters of subjects as
they walk. Our technique does not directly analyze the dynamic gait patterns, but uses
the action of walking to extract relative body parameters.
- Parametric Metrics to Estimate Performance of Biometric Techniques
Parametric metrics, expected confusion and transformed expected confusion, are
developed as means to estimate verification performance of biometric techniques.
- Method to Predict Cumulative Match Characteristic Performance
A method to predict cumulative match characteristic (CMC) curve performance for
large galleries of individuals using data from a significantly smaller gallery is derived.
- National Science Foundation / $1 Million
Encouraging students to pursue undergraduate degrees in STEM fields by exposing them to fundamental STEM paradigms via Interactive visual arts modulesa
- FACES / $30k
Career Initiation Grant
- P&G / $10k
Mobile Computing Lab
- The Leona M. and Harry B. Helmsley Charitable Trust / $5 Million
Vertically-Integrated Projects (joint grant with Georgia Tech)
- Defense Intelligence Agency / $1.5 Million
Intelligence Community Center for Academic Excellence (joint grant with VA Tech