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 | 2722* | 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 | 1063 | 2008 |
The SOBS algorithm: What are the limits? L Maddalena, A Petrosino 2012 IEEE computer society conference on computer vision and pattern …, 2012 | 324 | 2012 |
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 | 207 | 2010 |
Adjusted F-measure and kernel scaling for imbalanced data learning A Maratea, A Petrosino, M Manzo Information Sciences 257, 331-341, 2014 | 198 | 2014 |
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 | 188 | 2015 |
Towards benchmarking scene background initialization L Maddalena, A Petrosino New Trends in Image Analysis and Processing--ICIAP 2015 Workshops: ICIAP …, 2015 | 170 | 2015 |
Iris recognition through machine learning techniques: A survey M De Marsico, A Petrosino, S Ricciardi Pattern Recognition Letters 82, 106-115, 2016 | 131 | 2016 |
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 | 123 | 2016 |
Scene background initialization: A taxonomy T Bouwmans, L Maddalena, A Petrosino Pattern Recognition Letters 96, 3-11, 2017 | 107 | 2017 |
Background subtraction for moving object detection in RGBD data: A survey L Maddalena, A Petrosino Journal of Imaging 4 (5), 71, 2018 | 99 | 2018 |
TGLSTM: A time based graph deep learning approach to gait recognition F Battistone, A Petrosino Pattern Recognition Letters 126, 132-138, 2019 | 94 | 2019 |
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 | 92 | 2012 |
The 3dSOBS+ algorithm for moving object detection L Maddalena, A Petrosino Computer Vision and Image Understanding 122, 65-73, 2014 | 84 | 2014 |
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 | 82 | 2013 |
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 | 78 | 2017 |
Matrioska: A multi-level approach to fast tracking by learning ME Maresca, A Petrosino Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013 | 75 | 2013 |
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 | 66 | 2006 |
People counting by learning their appearance in a multi-view camera environment L Maddalena, A Petrosino, F Russo Pattern Recognition Letters 36, 125-134, 2014 | 60 | 2014 |
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 | 58 | 2017 |