By Topic

3D Dynamic Scene Surveillance and Management Using a 3D Kinetic Spatial Data Structure

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
$31 $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

3 Author(s)
Mostafavi, M.A. ; Dept. of Geomatics, Laval Univ., Quebec City, QC ; Beni, L.H. ; Gavrilova, M.

Tracking, monitoring and management of moving objects become increasingly important in modern geospatial application. An important example of such applications is monitoring and management of a dynamic scene captured by a network of videos or sensors for ensuring for example the security of the people during a public event, or for leading emergency or rescue teams in real environment. While current GIS are widely used to represent and manage spatiotemporal phenomena, their applications for 3D dynamic environments are very limited due to the 2D static nature of most of existing spatial data structures. In this paper, we first present a review of important requirements for efficient management of a dynamic scene. Next, we present a 3D kinetic data structure based on Delaunay tetrahedralization and Voronoi diagram that allows representation of static and moving objects and their interactions in a 3D dynamic environment, simultaneous tracking of a large number of moving objects, detection of the important events and collisions and other interesting analysis of a dynamic scene. Finally, we discuss other potentials and limitations of the proposed model and suggest some new research avenues regarding the improvement of the proposed model.

Published in:

Advanced Geographic Information Systems & Web Services, 2009. GEOWS '09. International Conference on

Date of Conference:

1-7 Feb. 2009