| 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 | 913 | 2008 |
| The SOBS algorithm: What are the limits? L Maddalena, A Petrosino 2012 IEEE computer society conference on computer vision and pattern …, 2012 | 265 | 2012 |
| 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 | 167 | 2010 |
| Towards benchmarking scene background initialization L Maddalena, A Petrosino International conference on image analysis and processing, 469-476, 2015 | 100 | 2015 |
| Scene background initialization: A taxonomy T Bouwmans, L Maddalena, A Petrosino Pattern Recognition Letters 96, 3-11, 2017 | 81 | 2017 |
| The 3dSOBS+ algorithm for moving object detection L Maddalena, A Petrosino Computer Vision and Image Understanding 122, 65-73, 2014 | 73 | 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 | 70 | 2013 |
| Neural Background Subtraction for Pan-Tilt-Zoom Cameras A Ferone, L Maddalena IEEE Transactions on Systems, Man, and Cybernetics: Systems 44 (5), 571-579, 2014 | 47 | 2014 |
| Background subtraction for moving object detection in RGBD data: A survey L Maddalena, A Petrosino Journal of Imaging 4 (5), 71, 2018 | 46 | 2018 |
| 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 | 45 | 2017 |
| Background Model Initialization for Static Cameras L Maddalena, A Petrosino Background Modeling and Foreground Detection for Video Surveillance, 3-1–-3-16, 2014 | 40 | 2014 |
| 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 | 38 | 2014 |
| A self-organizing approach to detection of moving patterns for real-time applications L Maddalena, A Petrosino International Symposium on Brain, Vision, and Artificial Intelligence, 181-190, 2007 | 38 | 2007 |
| A benchmarking framework for background subtraction in RGBD videos M Camplani, L Maddalena, GM Alcover, A Petrosino, L Salgado International Conference on Image Analysis and Processing, 219-229, 2017 | 36 | 2017 |
| Efficient methods for scratch removal in image sequences L Maddalena Image Analysis and Processing, 2001. Proceedings. 11th International …, 2001 | 31 | 2001 |
| Efficient methods for scratch removal in image sequences L Maddalena Proceedings 11th International Conference on Image Analysis and Processing …, 2001 | 31 | 2001 |
| A fusion-based approach to digital movie restoration L Maddalena, A Petrosino, G Laccetti Pattern Recognition 42 (7), 1485-1495, 2009 | 25 | 2009 |
| Handbook on soft computing for video surveillance SK Pal, A Petrosino, L Maddalena CRC press, 2012 | 21 | 2012 |
| Self organizing and fuzzy modelling for parked vehicles detection L Maddalena, A Petrosino International conference on advanced concepts for intelligent vision systems …, 2009 | 20 | 2009 |
| Object motion detection and tracking by an artificial intelligence approach L Maddalena, A Petrosino, A Ferone International Journal of Pattern Recognition and Artificial Intelligence 22 …, 2008 | 19 | 2008 |
Daniela di SerafinoProfessor of Numerical Analysis, University of Naples Federico IIVerified email at unina.it
