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Proceedings Paper

Matching of 2D region in a monocular image sequence by a fixed or a mobile camera
Author(s): A. Sdigui; M. Benjelloun
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Paper Abstract

In this paper we present a method for 2D temporal tracking of region in a monocular sequence of images. The approach we propose starts with a temporal matching phase which consists of forecasting the future system state. Kalman filtering is used during this phase. The goal here is to estimate, with a given reliability rate, the position and the size of the region in the next image in which the potential corresponding principal axis can be found. This phase is only applied to the principal inertia axes of each region. The following phase is the spatial matching which consists of finding the most probable matching among the principal inertia axes present in the search area. A similarity function is then used. Namely, the Mahalanobis distance, which we apply to descriptors of these principal axes. We then propagate this matching to regions. The same similitude function is used, but is now applied on regions descriptors.

Paper Details

Date Published: 6 August 1993
PDF: 10 pages
Proc. SPIE 2056, Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods, (6 August 1993); doi: 10.1117/12.150216
Show Author Affiliations
A. Sdigui, Institut National des Telecommunications (France)
M. Benjelloun, Institut National des Telecommunications (France)


Published in SPIE Proceedings Vol. 2056:
Intelligent Robots and Computer Vision XII: Active Vision and 3D Methods
David P. Casasent, Editor(s)

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