2 resultados para Plugins

em Deakin Research Online - Australia


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This new research report demonstrates the scale of the burden of cardiovascular disease (CVD) - shown to be large, costly, and increasing. Whilst mortality from CVD has fallen, an increasing population over the next decade will create further demands on services as the actual numbers of people living with CVD climb higher.

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This paper presents object tracking in depth, RGB and normal-maps images using LGT tracker. The depth and RGB images are rendered using depth imaging plugins. A series of experiments were held to evaluate the tracker performance in tracking objects in different image sequences. The experiments conducted were from the Visual Object Tracking (VOT) challenge that was arranged in association with ICCV'13 The accuracy was chosen as the evaluation measure, where the the tracker's bounding box was compared against the ground truth bounding box. Results show that tracking object using depth images gives better results and is more accurate than tracking using either the RGB or nomal maps images.