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28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - (COMPSAC'04)
Spatiotemporal Helixes for Modeling Environmental Data
Hong Kong
September 28-September 30
ISBN: 0-7695-2209-2
Kristin Eickhorst, University of Maine
Arie Croitoru, University of Maine
Peggy Agouris, University of Maine
Tony Stefanidis, University of Maine
Spatiotemporal helixes are a new method for modeling the changes an object experiences over time. They have the potential to be used as a predictive tool for geographical and biological applications. This paper presents the formal foundations of these helixes and includes experiments to demonstrate their usefulness when data collection is not optimal, such as when noise is present or when there is more than one object of interest present in a single video stream.
Citation:
Kristin Eickhorst, Arie Croitoru, Peggy Agouris, Tony Stefanidis, "Spatiotemporal Helixes for Modeling Environmental Data," compsac, vol. 2, pp.138-141, 28th Annual International Computer Software and Applications Conference - Workshops and Fast Abstracts - (COMPSAC'04), 2004
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