Referenced Items are not available for this document.
This article addresses the problem of tracking moving objects using deformable models. A Kalman-based algorithm is presented, inspired by a new class of constrained clustering methods, proposed by Abrantes and Marques (1996) in the context of static shape estimation. A set of data centroids is tracked using intra-frame and inter-frame recursions. Centroids are computed as weighted sums of the edge points belonging to the object boundary. The use of centroids introduces competitive learning mechanisms in the tracking algorithm leading to improved robustness with respect to occlusion and contour sliding. Experimental results with traffic sequences are provided
Published in:
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
(Volume:6
)
Date of Conference: 15-19 Mar 1999
- Page(s):
- 3305 - 3308 vol.6
- Meeting Date :
- 15 Mar 1999-19 Mar 1999
- ISSN :
- 1520-6149
- Print ISBN:
- 0-7803-5041-3
- INSPEC Accession Number:
- 6390217
- Conference Location :
- Phoenix, AZ
- Digital Object Identifier :
- 10.1109/ICASSP.1999.757548
- Product Type:
- Conference Publications
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