Authors:
Anisse Khald
1
;
Amina Radgui
2
and
Mohammed Rziza
1
Affiliations:
1
Mohamed V-Agdal university, Morocco
;
2
National Institute of Posts and Telecommunications (INPT), Morocco
Keyword(s):
Spherical Snake, Omnidirectional Image, Object Tracking, Inverse Stereographic Projection.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Motion, Tracking and Stereo Vision
;
Stereo Vision and Structure from Motion
;
Tracking and Visual Navigation
Abstract:
The current work addresses the problem of 3D model tracking in the context of omnidirectional vision in
order to object tracking. However, there is few articles dealing this problem in catadioptric vision. This
paper is an attempt to describe a new approach of omnidirectional images (gray level) processing based on
inverse stereographic projection in the half-sphere. We used the spherical model. For object tracking, The
object tracking method used is snake, with optimization using the Greedy algorithm, by adapting its different
operators. This method algorithm will respect the deformed geometry of omnidirectional images such as the
spherical neighbourhood, the spherical gradient and reformulation of optimization algorithm on the spherical
domain. This tracking method - that we call spherical snake - permit to know the change of the shape and the
size of 2D object in different replacements in the spherical image.