Dr Fabio Poiesi

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



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.


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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