| Multi-Sensor Information Integration and Automatic Understanding |
Nov-2008 |
43 pages |
| Authors:
Matthew Welborn; Austin Eliazar; SIGNAL INNOVATIONS GROUP INC DURHAM NC
|
 | This document is submitted to ONR as a final report for the Year III effort of the ONR C2CS research carried out by the team of Signal Innovations Group (SIG), Lockheed Martin and NAVAIR (henceforth referred to as the research team) to developed technology to process general video data of interest for base and port security. This research effort has also produced a real-time implementation of the tracking and anomalous ... |
|
| Multi-Sensor Information Integration and Automatic Understanding |
27 NOV 2007 |
8 pages |
| Authors:
Matthew Welborn; Samantha Venters; SIGNAL INNOVATIONS GROUP INC DURHAM NC
|
| The purpose of this program is to address the development of algorithms for adaptive processing of multi-sensor data, employing feedback to optimize the linkage between observed data and sensor control. The envisioned multi-modal adaptive system is applicable for intelligence, surveillance, and reconnaissance (ISR) in general environments, addressing base and port security, as well as urban and suburban sensing during wartime and peacekeeping operations. Of significant importance for current and anticipated ... |
|
| Multi-Sensor Information Integration and Automatic Understanding |
AUG 2007 |
6 pages |
| Authors:
Matthew Welborn; Samantha Venters; SIGNAL INNOVATIONS GROUP INC DURHAM NC
|
| During the last reporting period, important progress has been made in the system for both the object tracking and anomalous behavior algorithms. We have completed significant enhancements to the background color modeling that improves both the efficiency and performance of the overall system, allowing more consistent and robust object tracking and anomalous behavior detection. In addition, we have completed several data collection programs, including efforts that will support analysis for ... |
|
Reports by Author
