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The identification of pond turtles is important to scientists who monitor local populations, as it allows them to track the growth and health of subjects over their lifetime. Traditional non-invasive methods for turtle recognition involve the visual inspection of distinctive coloured patterns on their plastron. This visual inspection is time consuming and difficult to scale with a potential growth...
This paper proposes a novel method for computer vision-based, marker-less analysis of daily human actions for detecting motion irregularities (sway). Sway occurs due to a temporary loss in balance and is an important indicator of decay in motor skills. One should note that the purpose of the proposed approach is not to recognize the performed activity (which is a controlled variable in our experimental...
We propose a novel method for the automatic detection of salient regions in acoustic images. Two types of regions are of interest, namely objects and their cast shadows. Unlike shadows cast by objects in optical images where the light source model is often unknown or uncontrolled, acoustic shadows provide useful information about the object's shape and are therefore considered as representing salient...
The complex bathymetry and buoyancy fluxes associated with active spreading centres have a strong influence on the circulation and water properties in the region. The mixing of hot fluid (∼ 350 °C) emitted from hydrothermal vents with the surrounding sea water (∼ 2 °C) exerts control over circulation and transport of larvae, nutrients, microbes and organic matter between venting sites along the length...
This paper presents the results of a comparison study using the Visual VIPERS interface, a graphical interface which can be applied as an educational tool for novice computer vision students. The goal of the study was to evaluate the change in usability of the interface after the addition of a monitor tool, which can be used to view intermediate image results at specific stages of an algorithm. A...
This paper describes a new 3D motion representation, the Volumetric Motion History Image (VMHI), to be used for the analysis of irregularities in human actions. Such irregularities may occur either in speed or orientation and are strong indicators of the balance abilities and of the confidence level of the subject performing the activity. The proposed VMHI representation overcomes limits of the standard...
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