Temporal tracking of oceanographic images by implicit functions

Abstract

This work is devoted to segmentation and tracking of structures undergoing large deformation in an image sequence. The overall goal is the modeling of complex moving and deforming structures that simultaneously brings compression of data, segmentation and tracking on temporal sequences of images. Deforming entities are approximated by implicit templates, defined as level sets of some particular implicit functions. Implicit functions provide interesting tools for the modeling of visco-elastic objects. Structures are approximated using an energy minimization process ; the energy functional carries information about position, tangent and curvature. The implicit functions are defined by some control points, their radius of injuence, and an iso-value. Once the structures are segmented, tracking is modeled using the displacements of the control points and the variation of the radii of influence. The method is$rst applied on a sequence of images displaying a vortex formation, and we show that such a vortex structure can be segmented and tracked with implicit functions.

Segmentation and tracking of mesoscale eddies in numeric ocean models

“…Visualization techniques used for ocean data have includedtrivariate (B-Splines) parametric representation of data [7], feature based visualization for tracking sea surface temperature [8], and measurement and analysis of feature velocities. Various visualization methods adopted for vortex detection and technique include -vortex detection in 2D velocity fields, based on the macroscopic geometric properties of streamlines [9], Structure approximation using an energy minimization process and tracking is modeled using the displacements of the control points and the variation of the radii of influence [10]. To assess the role of oceans in maintaining the global heat balance, three methods have been used in the recent years [3].…”