Abstract book (pdf) - ICPR 2010

camera parameters by minimizing an energy function that is defined by using the reprojection error and the penalty term
for GPS positioning.
14:10-14:30, Paper ThBT3.3
Combining Monocular and Stereo Cues for Mobile Robot Localization using Visual Words
Fraundorfer, Friedrich, ETH Zurich
Wu, Changchang, UNC-Chapel Hill
Pollefeys, Marc,
This paper describes an approach for mobile robot localization using a visual word based place recognition approach. In
our approach we exploit the benefits of a stereo camera system for place recognition. Visual words computed from SIFT
features are combined with VIP (viewpoint invariant patches) features that use depth information from the stereo setup.
The approach was evaluated under the ImageCLEF@ICPR 2010 competition. The results achieved on the competition
datasets are published in this paper.
14:30-14:50, Paper ThBT3.4
Fast Derivation of Soil Surface Roughness Parameters using Multi-Band SAR Imagery and the Integral Equation
Model
Seppke, Benjamin, Univ. of Hamburg
Dreschler-Fischer, Leonie, Univ. of Hamburg
Heiming, Jo-Ann, Univ. of Hamburg
Wengenroth, Felix, Univ. of Hamburg
The Integral Equation Model (IEM) predicts the normalized radar cross section (NRCS) of dielectric surfaces given surface
and radar parameters. To derive the surface parameters from the NRCS using the IEM, the model needs to be inverted. We
present a fast method of this model inversion to derive soil surface roughness parameters from synthetic aperture radar
(SAR) remote sensing data. The model inversion is based on two different collocated SAR images of different bands, the
derivation of the parameters cannot be done using one band alone. The computation of the model and the model inversion
are very time consuming tasks and therefore may be impractical for large remote sensing data. We present an approach
that is based on a few model assumptions to speed up the computation of the surface parameters. We applied the algorithm
to detect the correlation length of the surface for dry-fallen areas in the World Cultural Heritage Wadden Sea, a coastal
tidal flat at the German Bight (North Sea). The results are very promising and may be used for a classification of the area
in future steps.
14:50-15:10, Paper ThBT3.5
Social Network Approach to Analysis of Soccer Game
Park, Kyoung-Jin, The Ohio State Univ.
Yilmaz, Alper, The Ohio State Univ.
Video understanding has been an active area of research, where many articles have been published on how to detect and
track objects in videos, and how to analyze their trajectories. These methods, however, only provided heuristic low level
information without providing a higher level understanding of global relations within the whole context. This paper presents
a new way to provide such understanding using social network approach in soccer videos. Our approach considers representing
interactions between the objects in the video as a social network. This network is then analyzed by detecting small
communities using modularity, which relates social interaction. Additionally, we analyze the centrality of nodes which
provides importance of individuals composing the network. In particular, we introduce five centralities exploiting directed
and weighted social network. The partitions of the resulting social network are shown to relate to clusters of soccer players
with respect to their role in the game.
ThBT4 Dolmabahçe Hall B
Image Segmentation - II Regular Session
Session chair: Farag, Aly A. (Univ. of Louisville)
13:30-13:50, Paper ThBT4.1
Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling
Reddy, Vikas, NICTA, The Univ. of Queensland
Sanderson, Conrad, NICTA
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