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Contact
information
Address:
School
of Electronic Engineering and Computer Science
Queen Mary University of London
Mile End Road, London E1 4NS (United Kingdom)
Office: room CS441
Tel: +44 20 7882 7549
Fax: +44 20 7882 7997
Email: fabio.poiesi@qmul.ac.uk
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Bio
Fabio Poiesi is
a Postdoctoral Research Assistant at Queen Mary University of London (UK)
working with Prof. Andrea Cavallaro under the
ARTEMIS project COPCAMS (COgnitive & Perceptive
CAMeraS - copcams.eu). He received his Ph.D. in Electronic
Engineering and Computer Science from Queen Mary University of London in
2014. His research interests are video multi-target tracking in highly-populated
scenes, performance evaluation of tracking algorithms and behaviour
understanding for the analysis of human interactions in crowds.
Publications
Journal
Papers
F. Poiesi, A. Cavallaro, Predicting and recognizing
interactions in public spaces,
Journal of Real-Time Image
Processing, Springer, DOI: 10.1007/s11554-014-0428-8.
T. Nawaz, F. Poiesi, A.
Cavallaro, Measures of effective
video tracking,
IEEE Transactions on Image
Processing, Vol. 23, Issue 1, pp. 376-388, January 2014
F. Poiesi, R. Mazzon, A.
Cavallaro, Multi-target tracking on
confidence maps: an application to people tracking,
Computer Vision and Image
Understanding, Vol. 117, Issue 10, pp. 1257-1272, October 2013
Book Chapter
F. Poiesi, A. Cavallaro, Multi-target tracking in video,
Academic Press Library in
Signal Processing: Volume 4, (Ed. S. Theodoridis),
Elsevier, September 2013
Conference
Papers
R.
Mazzon, F. Poiesi, A. Cavallaro, Detection
and tracking of groups in crowd,
Proc. of IEEE Int. Conference on Advanced Video and Signal-Based
Surveillance (AVSS), Krakow, PL, August 2013
F.
Poiesi, F. Daniyal, A. Cavallaro, Detector-less ball localization using
context and motion flow analysis,
Proc. of IEEE Int. Conference on Image Processing (ICIP), Hong Kong,
September 2010
Master
thesis
Fabio
Poiesi, Motion-based ball
localization through motion flow analysis,
March 2010, Advisor: Prof. Riccardo Leonardi.
Co-advisor: Prof. Andrea Cavallaro
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