Robust and incremental active contour models for object-tracking

Roger A. Samy; Jean-Francois Bonnet

doi:10.1117/12.189120

13 October 1994 Robust and incremental active contour models for object tracking

Roger A. Samy, Jean-Francois Bonnet

Proceedings Volume 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision; (1994) https://doi.org/10.1117/12.189120
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

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.

Citation Download Citation

Roger A. Samy and Jean-Francois Bonnet "Robust and incremental active contour models for object tracking", Proc. SPIE 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision, (13 October 1994); https://doi.org/10.1117/12.189120

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