Improved maritime target tracker using colour fusion
| Data(s) |
2009
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|---|---|
| Resumo |
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. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
IEEE |
| Relação |
http://eprints.qut.edu.au/27357/1/PWestall-Improved_Maritime_Target_Tracker_using_Colour_Fusion.pdf DOI:10.1109/HPCSIM.2009.5192545 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. |
| Direitos |
Copyright 2009 IEEE 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. |
| Fonte |
Faculty of Built Environment and Engineering; School of Engineering Systems |
| Palavras-Chave | #090609 Signal Processing #Image Processing #Detection #Hidden Markov Model |
| Tipo |
Conference Paper |
