A Sketch Recognition System for Recognizing Free-Hand Course of Action Diagrams

Authors

  • Tracy Anne Hammond
  • Drew Logsdon Texas A&M University
  • Brandon Paulson Texas A&M University
  • Joshua Johnston Texas A&M University
  • Joshua Peschel Texas A&M University
  • Aaron Wolin Texas A&M University
  • Paul Taele Texas A&M University

DOI:

https://doi.org/10.1609/aaai.v24i2.18812

Abstract

Military course-of-action (COA) diagrams are used to depict battle scenarios and include thousands of unique symbols, complete with additional textual and designator modifiers. We have created a real-time sketch recognition interface that recognizes 485 freely-drawn military course-of-action sym- bols. When the variations (not allowable by other systems) are factored in, our system is several orders of magnitude larger than the next biggest system. On 5,900 hand-drawn symbols, the system achieves an accuracy of 90% when con- sidering the top 3 interpretations and requiring every aspect of the shape (variations, text, symbol, location, orientation) to be correct.

Downloads

Published

2010-07-11

How to Cite

Hammond, T., Logsdon, D., Paulson, B., Johnston, J., Peschel, J., Wolin, A., & Taele, P. (2010). A Sketch Recognition System for Recognizing Free-Hand Course of Action Diagrams. Proceedings of the AAAI Conference on Artificial Intelligence, 24(2), 1781-1786. https://doi.org/10.1609/aaai.v24i2.18812