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In this paper, we present a visual tracking approach based on Dynamic Neural Fields (DNFs) in video images. To perform a task like tracking, a real time object detection application is applied first to identify the most salient regions or objects in input visual scene by optimizing a visual bottom-up attention model. The output saliency map is then used as input for DNFs with its ability to track...
The aim of the paper is to present the results of investigations concerning the implementation of pseudocolor visualization algorithm of segmented images, capable to find the color combination producing maximum contrast between the segmented areas. Very often there is a need of visualization of segmentation results and usually they are presented by assigning colors randomly or from predefined palettes,...
Automating the counting of marine animals like scallops benefits marine population survey efforts. These surveys are tools for policy makers to regulate fishing activities, and sources of information for biologists and marine ecologists interested in population statistics of marine species. In this paper we discuss some practical difficulties that arise in the scallop detection problem from visual...
Work on the construction site is known to be inefficient due to workers spending much time waiting for materials, transporting materials and from frequent interruptions of tasks. Studies on the construction site typically use statistical measures to analyse the sampled data about work and such measures, while very useful, can overlook important features of the data. In this paper we apply a previously...
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