Here is the list of accepted papers for ICVS 201.
Id |
Title |
Authors |
7 |
A fast and reliable technique for the log-polar mapping: a
quantitative comparison |
Manuela Chessa (University of Genoa), Silvio
Sabatini (University of Genoa), Fabio Solari (University of Genoa), Fabio
Tatti () |
8 |
Efficient Use of Geometric Constraints for Sliding-Window
Object Detection in Video |
Patrick Sudowe (RWTH Aachen), Bastian Leibe (UMIC
Research Centre, RWTH Aachen) |
13 |
Knowing what happened - Automatic Documentation of Image
Analysis Processes |
Birgit Moeller (University Halle-Wittenberg), Oliver
Gress (University Halle-Wittenberg), STefan Posch (University
Halle-Wittenberg) |
14 |
Towards a General Abstraction Through Sequences of Conceptual
Operations |
Gregor Miller (University of British Columbia),
Steve Oldridge (University of British Columbia), Sidney Fels (University of
British Columbia) |
16 |
Unsupervised activity extraction on long-term video recordings
employing soft computing relations |
Luis Patino (INRIA), Murray Evans (Reading
University), James Ferryman (), Francois Bremond (INRIA Sophia), Monique
Thonnat (INRIA Sophia) |
18 |
A Cognitive Vision System for Nuclear Fusion Device Monitoring |
Vincent Martin (CEA), Victor Moncada (CEA, IRFM),
Jean-Marcel Travere (CEA, IRFM), Thierry Loarer (CEA), Guillaume Charpiat
(INRIA), Francois Bremond (INRIA Sophia), Monique Thonnat (INRIA Sophia) |
23 |
Unsupervised Discovery, Modeling and Analysis of long term
Activities |
Guido Pusiol (INRIA), Francois Bremond (INRIA
Sophia), Monique Thonnat (INRIA Sophia) |
25 |
Girgit: A Dynamically Adaptive Vision System for Scene
Understanding |
Sagar Sen (INRIA Sophia-Antipolis), Leonardo Rocha
() |
32 |
Toward accurate feature detectors performance evaluation |
Pavel Smirnov (Intel Labs), Piotr Semenov (Intel
Labs), Alexander Redkin (Intel Labs) |
34 |
Run Time Adaptation of Video-Surveillance Systems: A software
Modeling Approach |
Mathieu Acher (I3S), Philippe Collet (I3S), Philippe
Lahire (I3S), Sabine Moisan (INRIA), Jean-Paul Rigault (INRIA) |
37 |
Learning what Matters: Combining Probabilistic Models of 2D
and 3D Saliency Cues |
Ekaterina Potapova (TUW), Michael Zillich (TUW),
Markus Vincze (Vienna University of Technology, Austria) |
39 |
Evaluation of local descriptors for action recognition in
videos |
Piotr Bilinski (INRIA), Francois Bremond (INRIA
Sophia) |
40 |
Scene Understanding through Interactive Perception |
Niklas Bergström (KTH), Carl Henrik Ek (Royal
Institute of Technology), Mårten Björkman (Royal Institute of Technology),
Danica Kragic (KTH, Sweden) |
48 |
3D Saliency for Abnormal Motion Selection: the Role of the
Depth Map |
Nicolas Riche (), Matei Mancas (University of Mons),
Bernard Gosselin (), Thierry Dutoit () |
50 |
A method for asteroids 3D surface reconstruction from close
approach distances |
Luca Baglivo (), Alessio Del Bue (IIT), Lunardelli
Massimo (), Francesco Setti (), Vittorio Murino (IIT), Mariolino De Cecco () |
55 |
Automatically Searching for Optimal Parameter Settings Using a
Genetic Algorithm |
David Bolme (Colorado State University), Bruce
Draper (Colorado State University), Ross Beveridge (Colorado State
University), Yui Man Lui (Colorado State University), Jonathon Phillips
(National Institute of Standards and Technology) |
56 |
On the Spatial Extents of SIFT Descriptors for Visual Concept
Detection |
Markus Mühling (University of Marburg), Ralph Ewerth
(University of Marburg), Bernd Freisleben (University of Marburg) |
56 |
On the Spatial Extents of SIFT Descriptors for Visual Concept
Detection |
Markus Mühling (University of Marburg), Ralph Ewerth
(University of Marburg), Bernd Freisleben (University of Marburg) |
58 |
Ontology-based Realtime Activity Monitoring Using Beam Search |
Bernd Neumann ("University of Hamburg,
Germany"), Wilfried Bohlken (University of Hamburg), Lothar Hotz
(HITeC), Patrick Koopmann () |
60 |
An Experimental Framework for Evaluating PTZ Tracking
Algorithms |
Pietro Salvagnini (IIT), Marco Cristani (IIT),
Alessio Del Bue (IIT), Vittorio Murino (IIT) |
64 |
Knowledge Representation and Inference for Grasp Affordances |
Karthik Mahesh Varadarajan (TU Vienna) |