skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: OpenCV and TYZX : video surveillance for tracking.

Abstract

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:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
942060
Report Number(s):
SAND2008-5776
TRN: US0900380
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
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.

Citation Formats

He, Jim, Spencer, Andrew, and Chu, Eric. OpenCV and TYZX : video surveillance for tracking.. United States: N. p., 2008. Web. doi:10.2172/942060.
He, Jim, Spencer, Andrew, & Chu, Eric. OpenCV and TYZX : video surveillance for tracking.. United States. https://doi.org/10.2172/942060
He, Jim, Spencer, Andrew, and Chu, Eric. 2008. "OpenCV and TYZX : video surveillance for tracking.". United States. https://doi.org/10.2172/942060. https://www.osti.gov/servlets/purl/942060.
@article{osti_942060,
title = {OpenCV and TYZX : video surveillance for tracking.},
author = {He, Jim and Spencer, Andrew and Chu, Eric},
abstractNote = {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.},
doi = {10.2172/942060},
url = {https://www.osti.gov/biblio/942060}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Aug 01 00:00:00 EDT 2008},
month = {Fri Aug 01 00:00:00 EDT 2008}
}