You are here

Signal Processing for a Southern Border Surveillance System

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: NBCH060116
Agency Tracking Number: 611064
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2006
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
6800 Cortona Drive
Goleta, CA 93117
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John Berger
 (805) 968-6787
Business Contact
 Marcella Lindbery
Title: Director of Finance
Phone: (805) 968-6787
Research Institution

Successfully monitoring vast areas of landscape is crucial for maintaining security across the United States border. We envision the solution to this problem to consist of a search sensor, such as a radar, that cues an EO/IR sensor which provides recognition and tracking capabilities. In this Phase I effort, we propose to focus on the signal processing required to support the EO/IR recognition and tracking function. We propose a software solution that detects and tracks moving and stationary targets that may be closely separated. Our signal processing solution includes frame registration, frame differencing, target segmentation, target tracking, and target feature extraction. Such techniques have already established high target detection performance while maintaining low numbers of false alarms. We will address requirements for preventing intruders from crossing the Southern border and the considerations for retrieving illegal entrants that may evade border security. Further, we show how real-time processing capability can be achieved through efficient candidate target segmentation, followed by a hierarchical classification structure. Throughout, we demonstrate how storage and bandwidth requirements can be minimized, to enable deployment of the complete system in a variety of resource-constrained environments, leading to reduced operator workload and improved surveillance effectiveness.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government