Back to articles
article
Volume: 54 | Article ID: art00008
Image
Robust Scheme for Detection of an Expanding Moving Object Using a Facet-Based Model in Infrared Imaging
  DOI :  10.2352/J.ImagingSci.Technol.2010.54.2.020506  Published OnlineMarch 2010
Abstract

In detection and tracking of a small or large moving object in infrared (IR) imaging systems, it is necessary to perform analysis of the object in real time. The authors proposed the facet-based detection scheme for a small moving object with zero-mean Gaussian noise in previous research. However, it is difficult to detect larger moving objects using the facet-based model because the kernel size in the facet-based model is 5×5 pixels. In this article, the authors propose a robust detection scheme using the facet-based model in IR for larger moving objects. A new condition for the object is proposed for the robust facet-based detection of a larger object with zero-mean Gaussian noise. In the proposed algorithm, first, we extract a mean of image intensity from the center of the facet in the region of interest (ROI) of the first frame. Second, we apply the facet-based model to the same positioned pixel in a subsequent frame. The pixels are detected from the maximum extreme condition. The pixels are detected from the maximum extreme condition. The experimental results show that the proposed algorithm is efficient and robust.

Subject Areas :
Views 20
Downloads 2
 articleview.views 20
 articleview.downloads 2
  Cite this article 

Changhan Park, Hwal-Suk Lee, Jieun Kim, Kyung-Hoon Bae, "Robust Scheme for Detection of an Expanding Moving Object Using a Facet-Based Model in Infrared Imagingin Journal of Imaging Science and Technology,  2010,  pp 20506-1 - 20506-9,  https://doi.org/10.2352/J.ImagingSci.Technol.2010.54.2.020506

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2010
  Login or subscribe to view the content