A video compression algorithm for security applications

Author

M. Ryan Bales

Abstract

"High-security areas often include multiple locations that should have little traffic, such as critical corridors and points of access. Video monitoring such locations is desirable, but due to low activity, often results in wasted bandwidth as the same static scene is repeatedly transmitted. Such waste can preclude the use of video surveillance in low traffic situations since bandwidth is limited, and available bandwidth is reserved for high traffic environments. A real-time video compression scheme at the camera could reduce bandwidth consumption enough to make video surveillance feasible in all locations.

In this thesis, an algorithm is presented which exploits features common to security settings and to real-time compression. Motion estimation and truncated correction were used to represent changes between sequential frames. A secure transmission format was incorporated to further improve compression. Tests videos containing a wide range of motion types and detail levels were processed by the algorithm, and the results were compared with other common compression schemes such as MPEG. The algorithm was superior to conventional schemes in terms of compression. Image quality was numerically superior when considering entire images but was limited at the boundaries of moving objects. Tuning parameters within the algorithm were varied to demonstrate their ability to balance image quality with compression, allowing the algorithm to handle many types of scenes"--Abstract, page iii.

Advisor(s)

Watkins, Steve Eugene, 1960-

Committee Member(s)

Beetner, Daryl G.
Story, J. Greg

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Comments

Accompanying CD-ROM, available at Missouri S&T Library, contains "the MATLAB code for the compression algorithm as well as code for a stand-alone C++ executable. The algorithm was developed MATLAB R12. Also included are the original image sequences used in developing the algorithm, and the text file results from each simulation presented in this thesis", leaf 140.
System requirements: Windows ME or higher, Microsoft Excel, Adobe Acrobat, Windows Media Player, image viewer, MATLAB R12.

Publisher

University of Missouri--Rolla

Publication Date

Spring 2006

Pagination

xi, 144 pages

Note about bibliography

Includes bibliographical references (pages 141-143)

Rights

© 2006 Michael Ryan Bales, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Subject Headings

Computer vision -- Mathematical modelsMPEG (Video coding standard)Security systemsVideo compression

Thesis Number

T 8973

Print OCLC #

85542378

Recommended Citation

Bales, M. Ryan, "A video compression algorithm for security applications" (2006). Masters Theses. 3881.
https://scholarsmine.mst.edu/masters_theses/3881