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Alfredo Petrosino
Alfredo Petrosino
Verified email at uniparthenope.it - Homepage
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The visual object tracking vot2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE international conference on computer vision …, 2015
2808*2015
A self-organizing approach to background subtraction for visual surveillance applications
L Maddalena, A Petrosino
IEEE Transactions on image processing 17 (7), 1168-1177, 2008
10792008
The SOBS algorithm: What are the limits?
L Maddalena, A Petrosino
2012 IEEE computer society conference on computer vision and pattern …, 2012
3332012
A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection
L Maddalena, A Petrosino
Neural Computing and Applications 19, 179-186, 2010
2142010
Adjusted F-measure and kernel scaling for imbalanced data learning
A Maratea, A Petrosino, M Manzo
Information Sciences 257, 331-341, 2014
2042014
The thermal infrared visual object tracking VOT-TIR2015 challenge results
M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ...
Proceedings of the IEEE international conference on computer vision …, 2015
1962015
Towards benchmarking scene background initialization
L Maddalena, A Petrosino
New Trends in Image Analysis and Processing--ICIAP 2015 Workshops: ICIAP …, 2015
1762015
The visual object tracking vot2016 challenge results
G Roffo, S Melzi
Computer Vision--ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
171*2016
Iris recognition through machine learning techniques: A survey
M De Marsico, A Petrosino, S Ricciardi
Pattern Recognition Letters 82, 106-115, 2016
1382016
Unsupervised cyber bullying detection in social networks
M Di Capua, E Di Nardo, A Petrosino
2016 23rd International conference on pattern recognition (ICPR), 432-437, 2016
1332016
Scene background initialization: A taxonomy
T Bouwmans, L Maddalena, A Petrosino
Pattern Recognition Letters 96, 3-11, 2017
1142017
Background subtraction for moving object detection in RGBD data: A survey
L Maddalena, A Petrosino
Journal of Imaging 4 (5), 71, 2018
1052018
TGLSTM: A time based graph deep learning approach to gait recognition
F Battistone, A Petrosino
Pattern Recognition Letters 126, 132-138, 2019
992019
Rough sets, kernel set, and spatiotemporal outlier detection
A Albanese, SK Pal, A Petrosino
IEEE Transactions on knowledge and data engineering 26 (1), 194-207, 2012
942012
Extensive benchmark and survey of modeling methods for scene background initialization
PM Jodoin, L Maddalena, A Petrosino, Y Wang
IEEE Transactions on Image Processing 26 (11), 5244-5256, 2017
842017
The 3dSOBS+ algorithm for moving object detection
L Maddalena, A Petrosino
Computer Vision and Image Understanding 122, 65-73, 2014
842014
Stopped object detection by learning foreground model in videos
L Maddalena, A Petrosino
IEEE transactions on neural networks and learning systems 24 (5), 723-735, 2013
822013
Matrioska: A multi-level approach to fast tracking by learning
ME Maresca, A Petrosino
Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013
772013
Rough fuzzy set based scale space transforms and their use in image analysis
A Petrosino, G Salvi
International Journal of Approximate Reasoning 41 (2), 212-228, 2006
662006
A benchmarking framework for background subtraction in RGBD videos
M Camplani, L Maddalena, G Moyá Alcover, A Petrosino, L Salgado
New Trends in Image Analysis and Processing–ICIAP 2017: ICIAP International …, 2017
622017
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