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Proceedings Paper

Non-rigid object tracker based on a robust combination of parametric active contour and point distribution model
Author(s): Joanna Isabelle Olszewska; Tom Mathes; Christophe De Vleeschouwer; Justus Piater; Benoît Macq
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Paper 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.

Paper Details

Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65082A (29 January 2007); doi: 10.1117/12.704234
Show Author Affiliations
Joanna Isabelle Olszewska, Univ. Catholique de Louvain (Belgium)
Tom Mathes, Univ. de Liège (Belgium)
Christophe De Vleeschouwer, Univ. Catholique de Louvain (Belgium)
Justus Piater, Univ. de Liège (Belgium)
Benoît Macq, Univ. Catholique de Louvain (Belgium)

Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)

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