29 January 2007 Non-rigid object tracker based on a robust combination of parametric active contour and point distribution model
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Abstract
Our study considers the development of a reliable tracker for non-rigid objects evolving on cluttered background in crowded scenes captured by moving cameras. For this purpose, we propose an original method that combines two approaches, respectively based on parametric active contours (PAC) and on point distribution model (PDM). The PAC tracker relies on an effective and effcient implementation of contour convergence mechanism to bring a smooth contour to the edges of the target in real-time. The PDM approach collects feature points in the region delineated by the PAC tracker to build and update a model of the target in term of a feature point distribution. Formally, when a novel frame is considered, its feature points are matched with the PDM model. The matching information is used to initialize the novel PAC, whose convergence identify the points that are relevant to update the PDM for the next frame. Hence, the two approaches complement each others. The a priori information provided by the PDM makes the system robust towards occlusions, while the deformation of the PAC increases its robustness towards target appearance changes. Simulations on real-word video sequences demonstrate the performance of our approach.
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Joanna Isabelle Olszewska, Joanna Isabelle Olszewska, Tom Mathes, Tom Mathes, Christophe De Vleeschouwer, Christophe De Vleeschouwer, Justus Piater, Justus Piater, Benoît Macq, Benoît Macq, } "Non-rigid object tracker based on a robust combination of parametric active contour and point distribution model", Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65082A (29 January 2007); doi: 10.1117/12.704234; https://doi.org/10.1117/12.704234
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