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Tracking multiple objects using moving snakes

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5 Author(s)
Jonas De Vylder ; Department of Telecommunications and Information Processing, IBBT - Image Processing and Interpretation Group, Ghent University, St-Pietersnieuwstraat 41, B-9000, Belgium ; Daniel Ochoa ; Wilfried Philips ; Laury Chaerle
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Active contours or snakes are widely used for segmentation and tracking. The ability of a snake to track an object depends on the movement of the object. If the object moves too far from one frame to another, the snake risks losing the true contour location. The subsequent evolution steps are negatively affected, reporting a false contour that can propagate to other frames. To overcome this problem a new snake algorithm has been developed. This new technique, moving snakes, works in two steps. During the first step, the snake is translated as a rigid body towards the contour. This translation is calculated using the external force field of the image, therefore it does not require prior knowledge about the object movement. In the second step the actual shape evolution of the snake takes place.

Published in:

2009 16th International Conference on Digital Signal Processing

Date of Conference:

5-7 July 2009