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Csaba
Benedek, Ph.D.
I
am a
senior research fellow
with the Distributed Events Analysis
(DEVA) Research Laboratory in the Computer
and Automation Research Institute of the Hungarian Academy of
Sciences (MTA SZTAKI). My
research work mainly focuses on pattern recognition problems in
remote sensing, using probabilistic approaches.
I
am coordinator of the i4D Project
(2012-2014) funded by the internal R&D grant of MTA SZTAKI,
and I am the national project leader
the APIS Project funded by the European
Defense Agency (EDA). I participate in further various EU and
National R&D projects with the DEVA Laboratory.
I
receive Janos Bolyai
Research Fellowship from the Hungarian Academy of Sciences (2010-2013)
and I am the principal investigator of a postdoctoral
project of the Hungarian Scientific Research Fund (OTKA-101598)
"Comprehensive Remote Sensing Data Analysis", (2012-2014,
36 months).
I
also hold an assistant professor position at the
Department
of Electronics Technology of Budapest
University of Technology and Economics (BME)
and I am a lecturer of Computer
Graphics at the Pázmány
Péter Catholic University,
Faculty of Information Technology
(PPKE ITK), Budapest.
I
obtained the M.Sc. degree
in 2004 in
information technology from the Budapest
University of Technology and Economics
and the Ph.D. degree in 2008 in
computer vision from the Pázmány
Péter Catholic University,
Budapest.
Starting
from October 2008, I worked for 12 moths as a postdoctoral
researcher with the ARIANA
project-team of INRIA Sophia
Antipolis-Méditerranée, France; on the topic Bayesian
object detection and stochastic optimization techniques applied
in remote sensing and satellite image analysis. I participated here
in a team work supported by the French
Space Agency (CNES) and the French
Defense Agency (DGA).
In
the recent years, I have been a visitor at the University
of Pisa, at the Florida State
University, Tallahassee, at the ORION
Project (currently PULSAR),
INRIA Sophia Antipolis, and at the
Ramon Llull University, Barcelona.
Contact
address:
-
Computer
and Automation Research Institute, Hungarian Academy of Sciences,
Room 409, H-1111, Kende utca 13-17, Budapest, Hungary, Phone:
(36)-1-279-6292
E-mail:
Research
interest:
- Image and
video segmentation, object recognition, event analysis
- 3D point
cloud processing
- Remote sensing
applications:
- Aerial
and satellite image classification, change detection,
object
recognition
- Radar
(ISAR) image classification, target identification and tracking
- Aerial
and terrestrial LIDAR data analysis (3D scene interpretation
and reconstruction)
- Video
surveillance (background
segmentation, shadow detection,
target racking)
- Statistical
approaches applied in computer vision
- Markov
Random Fields,
- Mixed
Markov Models,
- Marked
Point Processes
- Stochastic
optimization
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