Automatic selection of control points for deformable-model-based target tracking

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

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 languageEnglish (US)
Pages (from-to)2915-2920
Number of pages6
JournalProceedings - IEEE International Conference on Robotics and Automation
Volume4
StatePublished - 1996
EventProceedings of the 1996 13th IEEE International Conference on Robotics and Automation. Part 1 (of 4) - Minneapolis, MN, USA
Duration: Apr 22 1996Apr 28 1996

Fingerprint

Dive into the research topics of 'Automatic selection of control points for deformable-model-based target tracking'. Together they form a unique fingerprint.

Cite this