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Proceedings Paper

Robust and incremental active contour models for object-tracking
Author(s): Roger A. Samy; Jean-Francois Bonnet
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Paper Abstract

This paper addresses the object tracking problem in an image sequence using an active contour model called `snake' based on energy-minimizing curves with global constraints. Attempts to improve the robustness of these models is developed within the robust estimation theory leading to a new cost function (rho) in the new definition of energy: the resulting model is thus called (rho) -snakes. Furthermore, we formulate a temporal continuity constraint in the energy definition: an incremental active contour model is suitable for object tracking as it includes prediction. Experimental results on the (rho) -snakes compared to classical snake are given on both synthetic and real IR images sequence.

Paper Details

Date Published: 13 October 1994
PDF: 7 pages
Proc. SPIE 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision, (13 October 1994); doi: 10.1117/12.189120
Show Author Affiliations
Roger A. Samy, Societe Anonyme de Telecommunications (France)
Jean-Francois Bonnet, Societe Anonyme de Telecommunications (France)


Published in SPIE Proceedings Vol. 2354:
Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision
David P. Casasent, Editor(s)

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