TY - JOUR AU - Hammond, Tracy AU - Logsdon, Drew AU - Paulson, Brandon AU - Johnston, Joshua AU - Peschel, Joshua AU - Wolin, Aaron AU - Taele, Paul PY - 2010/07/11 Y2 - 2024/03/29 TI - A Sketch Recognition System for Recognizing Free-Hand Course of Action Diagrams JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 24 IS - 2 SE - IAAI Technical Track: Emerging Papers DO - 10.1609/aaai.v24i2.18812 UR - https://ojs.aaai.org/index.php/AAAI/article/view/18812 SP - 1781-1786 AB - <div>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.</div> ER -