DocumentCode
1566204
Title
Spatiotemporal helixes for modeling environmental data
Author
Eickhorst, Kristin ; Croitoru, Arie ; Agouris, Peggy ; Stefanidis, Tony
Author_Institution
Dept. of Spatial Inf. Sci. & Eng., Maine Univ., Orono, ME, USA
Volume
2
fYear
2004
Firstpage
138
Abstract
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. We present the formal foundations of these helixes and include 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.
Keywords
data analysis; data models; environmental science computing; temporal databases; video databases; video streaming; biological applications; data collection; environmental data modeling; geographical applications; predictive tool; spatiotemporal helixes; video stream; Biological system modeling; Ecosystems; Image sensors; Information analysis; Information science; NASA; Object detection; Satellites; Spatiotemporal phenomena; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference, 2004. COMPSAC 2004. Proceedings of the 28th Annual International
ISSN
0730-3157
Print_ISBN
0-7695-2209-2
Type
conf
DOI
10.1109/CMPSAC.2004.1342696
Filename
1342696
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