By Topic

Spatiotemporal helixes for modeling environmental data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
K. Eickhorst ; Dept. of Spatial Inf. Sci. & Eng., Maine Univ., Orono, ME, USA ; A. Croitoru ; P. Agouris ; T. Stefanidis

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.

Published in:

Computer Software and Applications Conference, 2004. COMPSAC 2004. Proceedings of the 28th Annual International  (Volume:2 )

Date of Conference:

28-30 Sept. 2004