Complex Event Detection in Video and Communications
Agency / Branch:
DOD / NAVY
We will demonstrate the feasibility of detecting tactically meaningful complex events in sensor input streams using an efficient pattern matching technology embodied in the Soar cognitive architecture. Our focus in Phase I will be on video streams, such as those that might be produced by unattended ground sensors or unmanned aerial systems. To reduce risk, we propose devoting a portion of our effort to the problem of reliably producing simple or atomic event markers from the video stream, so that our complex event detection capability has a solid foundation of input data.
Small Business Information at Submission:
Research Institution Information:
Soar Technology, Inc.
3600 Green Court Suite 600 Ann Arbor, MI 48105
Number of Employees:
Wayne State University
4815 Fourth Street
Detroit, MI 48202
R. Darin Ellis