Anne Marie Ivers

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Human-activity recognition is one of the most challenging problems in computer vision. Researchers from around the world have tried to solve this problem and have come a long way in recognizing simple motions and atomic activities. As the computer vision community heads toward fully recognizing human activities, a challenging and labeled dataset is needed.(More)
The Videoweb Activities Dataset is a collection of videos of different human activities from a network of cameras. The dataset consists of the videos, annotation of the activities and a brief explanation of the format. It has been collected purely for research purposes and its use should be limited purely to research. It is being made available to the broad(More)
Discrete event simulation (DES) is a technique used extensively and effectively by large companies, however it is not widely used by small to medium sized enterprises (SMEs) due to complexity and related costs being prohibitively high. In SMEs, DES-related data can be stored in a variety of formats and it is not always evident what data is required (if even(More)
The life-cycle of a DES study goes through a number of phases, from initially goal setting to validation of experiments. Of these, the phases to support DES data collection and representation have been underrepresented in the literature to date. This paper sets out to describe a process of data collection and representation for DES within the context of the(More)
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