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Optical Engineering

Hidden Markov Models for background clutter
Author(s): Qian Li; Cui Yang; Jian-Qi Zhang; Dong-Yang Zhang
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Paper Abstract

The development of a target acquisition performance model for an electro-optical imaging system is seriously affected by the description of the target and background characteristics at present. Based on the Hidden Markov Model (HMM), a different clutter metric is proposed to quantify the influence of background on target detection in this article. It first simulates the process of recording a target in the human brain by optimizing the HMM parameters to represent the target as far as possible. And then the background clutter is defined to be the similarity, estimated by the computed model parameters, between the target and background. Finally, the newly proposed clutter metric is applied to the Search2 database, and the experiment results prove its superiority to other metrics.

Paper Details

Date Published: 16 July 2013
PDF: 9 pages
Opt. Eng. 52(7) 073108 doi: 10.1117/1.OE.52.7.073108
Published in: Optical Engineering Volume 52, Issue 7
Show Author Affiliations
Qian Li, Xidian Univ. (China)
Cui Yang, Xidian Univ. (China)
Jian-Qi Zhang, Xidian Univ. (China)
Dong-Yang Zhang, Xidian Univ. (China)


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