Abstract book (pdf) - ICPR 2010

10:20-10:40, Paper WeAT1.5
A Combined Self-Configuring Method for Object Tracking in Colour Video
Rosell Ortega, Juan, Pol. Univ. of Valencia
Andreu-Garcia, Gabriela, Pol. Univ. of Valencia
Rodas-Jordà, Angel, Pol. Univ. of Valencia
Atienza-Vanacloig, Vicente, Pol. Univ. of Valencia
This paper introduces a novel approach to background modelling. We propose using initially a method to extract scene
parameters from a sequence of frames. These parameters, together with an initial background model, are used as a starting
point for a background subtraction method based on fuzzy logic. Our method permits modelling the background and detecting
moving objects in a video sequence without user intervention. The algorithm is designed to work with CIEL*a*b*
coordinates with multi modal support and eludes user parameters or fixed or probabilistic thresholds usually found in the
traditional background subtraction methods. Quantitative and qualitative results obtained with a well-known benchmark
and comparisons with other approaches justify the model.
WeAT2 Dolmabahçe Hall A
Shape Modeling - I Regular Session
Session chair: De Floriani, L.
09:00-09:20, Paper WeAT2.1
A Geometric Invariant Shape Descriptor based on the Radon, Fourier, and Mellin Transforms
Hoang, Thai V., Univ. Nancy 2-LORIA
Tabbone, Salvatore, Univ. Nancy 2-LORIA
A new shape descriptor invariant to geometric transformation based on the Radon, Fourier, and Mellin transforms is proposed.
The Radon transform converts the geometric transformation applied on a shape image into transformation in the
columns and rows of the Radon image. Invariances to translation, rotation, and scaling are obtained by applying 1D Fourier-
Mellin and Fourier transforms on the columns and rows of the shape’s Radon image respectively. Experimental results on
different datasets show the usefulness of the proposed shape descriptor.
09:20-09:40, Paper WeAT2.2
Fundamental Geodesic Deformations in Spaces of Treelike Shapes
Feragen, Aasa, Univ. of Copenhagen
Lauze, Francois, Univ. of Copenhagen
Nielsen, Mads
This paper presents a new geometric framework for analysis of planar treelike shapes for applications such as shape matching,
recognition and morphology, using the geometry of the space of treelike shapes. Mathematically, the shape space is
given the structure of a stratified set which is a quotient of a normed vector space with a metric inherited from the vector
space norm. We give examples of geodesic paths in tree-space corresponding to fundamental deformations of small trees,
and discuss how these deformations are key building blocks for understanding deformations between larger trees.
09:40-10:00, Paper WeAT2.3
Shape Interpolation with Flattenings
Meyer, Fernand, Mines-ParisTech
This paper presents the binary flattenings of shapes, first as a connected operator suppressing particles or holes, second as
an erosion in a particular lattice of shapes. Using this erosion, it is then possible to construct a distance from a shape to
another and derive from it an interpolation function between shapes.
10:00-10:20, Paper WeAT2.4
Circularity Measuring in Linear Time
Nguyen, Thanh Phuong, LORIA
Debled-Rennesson, Isabelle, LORIA - Nancy Univ.
We propose a new circularity measure inspired from Arkin \cite{Arkin91}, Latecki \cite{Latecki00} tools of shape match-
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