Improved maritime target tracker using colour fusion

Westall, Paul, O'Shea, Peter, Ford, Jason J., & Hrabar, Stefan (2009) Improved maritime target tracker using colour fusion. In High Performance Computing & Simulation, 2009. HPCS '09. International , 21-24 June 2009, Leipzig.

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Searching for humans lost in vast stretches of ocean has always been a difficult task. This paper investigates a machine vision system that addresses this problem by exploiting the useful properties of alternate colour spaces. In particular, the paper investigates the fusion of colour information from the HSV, RGB, YCbCr and YIQ colour spaces within the emission matrix of a Hidden Markov Model tracker to enhance video based maritime target detection. The system has shown promising results. The paper also identifies challenges still needing to be met.

Impact and interest:

2 citations in Scopus
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ID Code: 27357
Item Type: Conference Paper
Refereed: Yes
Keywords: Image Processing, Detection, Hidden Markov Model
DOI: 10.1109/HPCSIM.2009.5192545
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2009 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Deposited On: 15 Sep 2009 22:14
Last Modified: 22 Jun 2017 14:41

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