Alfredo Petrosino
Alfredo Petrosino
Verified email at uniparthenope.it - Homepage
TitleCited byYear
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
8912015
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
8912015
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
8912015
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
8872015
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
8102008
The SOBS algorithm: What are the limits?
L Maddalena, A Petrosino
2012 IEEE Computer Society Conference on Computer Vision and Pattern …, 2012
2132012
A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection
L Maddalena, A Petrosino
Neural Computing and Applications 19 (2), 179-186, 2010
1432010
Adjusted F-measure and kernel scaling for imbalanced data learning
A Maratea, A Petrosino, M Manzo
Information Sciences 257, 331-341, 2014
772014
Towards benchmarking scene background initialization
L Maddalena, A Petrosino
International conference on image analysis and processing, 469-476, 2015
722015
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
662015
The 3dSOBS+ algorithm for moving object detection
L Maddalena, A Petrosino
Computer Vision and Image Understanding 122, 65-73, 2014
632014
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
602013
Multi-feature adaptive classifiers for SAR image segmentation
M Ceccarelli, A Petrosino
Neurocomputing 14 (4), 345-363, 1997
561997
The sixth visual object tracking vot2018 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
542018
Scene background initialization: A taxonomy
T Bouwmans, L Maddalena, A Petrosino
Pattern Recognition Letters 96, 3-11, 2017
542017
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
542006
Matrioska: A multi-level approach to fast tracking by learning
ME Maresca, A Petrosino
International Conference on Image Analysis and Processing, 419-428, 2013
532013
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
492012
Iris recognition through machine learning techniques: A survey
M De Marsico, A Petrosino, S Ricciardi
Pattern Recognition Letters 82, 106-115, 2016
452016
Clustering local motion estimates for robust and efficient object tracking
ME Maresca, A Petrosino
European Conference on Computer Vision, 244-253, 2014
372014
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