Title :
Improved maritime target tracker using colour fusion
Author :
Westall, Paul ; O´Shea, Peter ; Ford, Jason J. ; Hrabar, Stefan
Author_Institution :
Sch. of Eng. Syst., Queensland Univ. of Technol., Brisbane, QLD, Australia
Abstract :
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.
Keywords :
Markov processes; image colour analysis; image enhancement; image fusion; object detection; target tracking; video signal processing; HSV colour spaces; RGB spaces; YCbCr colour spaces; YIQ colour spaces; colour fusion; colour information; emission matrix; hidden Markov model tracker; maritime target detection; maritime target tracker; video enhancement; Australia; Cameras; Hidden Markov models; Humans; Machine vision; Object detection; Oceans; Sea surface; Surface morphology; Target tracking; Colour Fusion; Hidden Markov Models; Maritime Search and Rescue; Mathematical Morphology;
Conference_Titel :
High Performance Computing & Simulation, 2009. HPCS '09. International Conference on
Conference_Location :
Leipzig
Print_ISBN :
978-1-4244-4906-4
Electronic_ISBN :
978-1-4244-4907-1
DOI :
10.1109/HPCSIM.2009.5192545
