Sciweavers

Share
HUMO
2007
Springer

Joint Appearance and Deformable Shape for Nonparametric Segmentation

9 years 6 months ago
Joint Appearance and Deformable Shape for Nonparametric Segmentation
This paper deals with region-of-interest (ROI) segmentation in video sequences. The goal is to determine in one frame the region which best matches, in terms of a similarity measure, a ROI defined in a reference frame. A similarity measure can combine color histograms and geometry information into a joint PDF. Geometric information are basically interior region coordinates. We propose a system of shape coordinates constant under shape deformations. High-dimensional colorgeometry PDF estimation being a difficult problem, measures based on these PDF distances may lead to an incorrect match. Instead, we use an estimator for Kullback-Leibler divergence efficient for high dimensional PDFs. The distance is expressed from the samples using the kth-nearest neighbor framework (kNN). We plugged this distance into active contour framework using shape derivative. Segmentation results on both rigid and articulated objects showed promising results.
Sylvain Boltz, Eric Debreuve, Michel Barlaud
Added 07 Jun 2010
Updated 28 Feb 2011
Type Conference
Year 2007
Where HUMO
Authors Sylvain Boltz, Eric Debreuve, Michel Barlaud
Comments (0)
books