Referenced Items are not available for this document.
This paper describes the implementation of a background subtraction approach for indoor surveillance applications and presents a novel change detection algorithm. This algorithm uses a color similarity metric that considers the information of magnitude and phase of the difference between the background model and each video frame, both represented in the RGB color space. One of the advantages of such combination is that both features, magnitude and phase, take into account the intensity and the chromaticity information from a color image. The approach was tested using the PETS2004 database obtaining acceptable results.
Published in:
Latin America Transactions, IEEE (Revista IEEE America Latina)
(Volume:10
,
Issue:
1
)
Date of Publication: Jan. 2012
- Page(s):
- 1221 - 1226
- ISSN :
- 1548-0992
- INSPEC Accession Number:
- 12509249
- Digital Object Identifier :
- 10.1109/TLA.2012.6142465
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 02 February 2012
- Issue Date :
- Jan. 2012
- Sponsored by :
- IEEE Region 9
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
