SciTech Connect

Title: OpenCV and TYZX : video surveillance for tracking.

OpenCV and TYZX : video surveillance for tracking. As part of the National Security Engineering Institute (NSEI) project, several sensors were developed in conjunction with an assessment algorithm. A camera system was developed in-house to track the locations of personnel within a secure room. In addition, a commercial, off-the-shelf (COTS) tracking system developed by TYZX was examined. TYZX is a Bay Area start-up that has developed its own tracking hardware and software which we use as COTS support for robust tracking. This report discusses the pros and cons of each camera system, how they work, a proposed data fusion method, and some visual results. Distributed, embedded image processing solutions show the most promise in their ability to track multiple targets in complex environments and in real-time. Future work on the camera system may include three-dimensional volumetric tracking by using multiple simple cameras, Kalman or particle filtering, automated camera calibration and registration, and gesture or path recognition.
Authors: ; ;
Publication Date:
OSTI Identifier:OSTI ID: 942060
Report Number(s):SAND2008-5776
TRN: US0900380
DOE Contract Number:AC04-94AL85000
Resource Type:Technical Report
Research Org:Sandia National Laboratories
Sponsoring Org:USDOE
Country of Publication:United States
Language:English
Subject: 45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE; CALIBRATION; CAMERAS; IMAGE PROCESSING; NATIONAL SECURITY; PERSONNEL; START-UP; TARGETS Nuclear facilities-Surveillance operations.; Electronic security systems.; Video.; Security systems.