Influence of image compression on object detection in natural images segmented with mean shift
SIP'10 Proceedings of the 9th WSEAS international conference on Signal processing
Complex agent interactions in operational simulations for aerospace design
Proceedings of the Winter Simulation Conference
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Searching for humans lost in vast stretches of ocean has always been a difficult task. In this paper, a range of machine vision approaches are investigated as candidate tools to mitigate the risk of human fatigue and complacency after long hours performing these kind of search tasks. Our two-phased approach utilises point target detection followed by temporal tracking of these targets. Four different point target detection techniques and two tracking techniques are evaluated. We also evaluate the use of different colour spaces for target detection. This paper has a particular focus on Hidden Markov Model based tracking techniques, which seem best able to incorporate a priori knowledge about the maritime search problem, to improve detection performance.