Abstract
A novel curve segmentation algorithm for determining control points for deformable-model-based target tracking is proposed. The algorithm is parameterless enabling a full-fledged automated tracking regardless of the shape of the object being tracked. Compared with other curve segmentation algorithms, it selects a minimal number of control points that yet deliver a superior shape description. The algorithm is comparatively tested with other curve segmentation algorithms in a variety of characteristic target outlines.
Original language | English (US) |
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Pages (from-to) | 2915-2920 |
Number of pages | 6 |
Journal | Proceedings - IEEE International Conference on Robotics and Automation |
Volume | 4 |
State | Published - Jan 1 1996 |