Hidden Markov Model Filter Banks for Dim Target Detection from Image Sequences

Lai, John S., Ford, Jason J., O'Shea, Peter J., & Walker, Rodney A. (2008) Hidden Markov Model Filter Banks for Dim Target Detection from Image Sequences. In Digital Image Computing: Techniques and Applications (DICTA), 1-3 December, 2008, Canberra.

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The track-before-detect processing technique has been employed in numerous computer vision based algorithms to address the dim target detection problem. In this processing approach, target information (as often provided by an image processing stage that has emphasised target features or suppressed unwanted noise) is integrated over a period of time before the detection decision is made. In this paper, we compare two Hidden Markov Model (HMM) based track-before-detect temporal filtering approaches for dim target detection that use image data pre-processed with a Preserved-Sign morphological filter. The two compared temporal filtering approaches are: a standard HMM filter (recent studies have shown this to be close to the state-of-the-art) and a novel HMM filter bank approach. Results from our simulation study involving various combinations of target speeds and signal-to-noise ratios show that the proposed novel HMM filter bank approach achieves a higher detection rate than the standard HMM approach.

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ID Code: 16803
Item Type: Conference Paper
Refereed: Yes
Keywords: Hidden Markov Model, Filter Bank, Dim Target Detection
DOI: 10.1109/DICTA.2008.61
ISBN: 9780769534565
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2008 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 11 Dec 2008 00:05
Last Modified: 21 Jun 2017 14:41

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