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Proceedings Paper

A new support tool for machine learning and pattern recognition using tracking and motion segmentation
Author(s): E. Bichot; O. Masset; L. Mascarilla; P. Courtellemont
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Paper Abstract

A new support tool using object tracking and motion based segmentation is developed for machine learning and pattern recognition. In the learning step, an object of interest is tracked while learning is performed from segmented frames. In the recognition step, target is tracked until favorable conditions allow identification. This tool is used in the context of the Aqu@thèque project which includes an automatic fish recognition system. Tracking is a dificult task especially in case of real world images. Particle filtering methods incorporating motion based segmentation measurement in importance sampling step improve performance.

Paper Details

Date Published: 29 January 2007
PDF: 10 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65081W (29 January 2007); doi: 10.1117/12.702836
Show Author Affiliations
E. Bichot, Univ. of La Rochelle (France)
O. Masset, Univ. of La Rochelle (France)
L. Mascarilla, Univ. of La Rochelle (France)
P. Courtellemont, Univ. of La Rochelle (France)


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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