Robust and incremental active contour models for object tracking
Roger A. Samy, Jean-Francois Bonnet · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
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.