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
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;
Conference_Titel :
Computer Software and Applications Conference, 2004. COMPSAC 2004. Proceedings of the 28th Annual International
Print_ISBN :
0-7695-2209-2
DOI :
10.1109/CMPSAC.2004.1342696
