Selected publications of Lucia Maddalena

- A. Petrosino, L. Maddalena, T. Bouwmans, Editorial–Scene background modeling and initialization, Pattern Recognition Letters, DOI 10.1016/j.patrec.2017.05.032, accepted.

- T. Bouwmans, L. Maddalena, A. Petrosino, Scene background initialization: A taxonomy, Pattern Recognition Letters, DOI 10.1016/j.patrec.2016.12.024, accepted.

- L. Maddalena, A. Petrosino, Extracting a Background Image by a Multi-modal Scene Background Model, 23rd International Conference on Pattern Recognition (ICPR), Cancun, DOI: 10.1109/ICPR.2016.7899623, pp. 143-148, 2016.

- L. Maddalena, A. Petrosino, Towards Benchmarking Scene Background Initialization, in V. Murino et al. (eds), New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops, Lecture Notes in Computer Science, Vol. 9281, Springer International Publishing Switzerland, DOI 10.1007/978-3-319-23222-5_57#, pp. 469–476, 2015.

- L. Casalino, P. D’Ambra, M. R. Guarracino, A. Irpino, L. Maddalena, F. Maiorano, G. Minchiotti, E. J. Patriarca, Image Analysis and Classification for High-Throughput Screening of Embryonic Stem Cells, in V. Zazzu, M.B. Ferraro, and M.R. Guarracino (Eds.),Mathematical Models in Biology, Springer, pp 17-31, 2015.

- E. Di Nardo, L. Maddalena, A. Petrosino, Video-Based Access Control by Automatic License Plate Recognition, in S. Bassis, A. Esposito, and F.C. Morabito (Eds), Advances in Neural Networks: Computational and Theoretical Issues 37, Smart Innovation, Systems and Technologies, Springer International Publishing, DOI 10.1007/978-3-319-18164-6_11, pp. 103-117, 2015

- L. Maddalena, A. Petrosino, Towards Benchmarking Scene Background Initialization, arXiv:1506.04051, 2015.

- L. Maddalena, A. Petrosino, Background Model Initialization for Static Cameras, in T. Bouwmans, F. Porikli, B. Höferlin, and A. Vacavant (Eds), Background Modeling and Foreground Detection for Video Surveillance, DOI: 10.1201/b17223-5, pp. 3-1–-3-16, Chapman and Hall/CRC 2014.

- L. Maddalena, A. Petrosino, The 3dSOBS+ algorithm for moving object detection, Computer Vision and Image Understanding, DOI: 10.1016/j.cviu.2013.11.006, vol. 122, pp. 65–73, 125-134, 2014.

- L. Maddalena, A. Petrosino, F. Russo, People counting by learning their appearance in a multi-view camera environment, Pattern Recognition Letters, DOI: 10.1016/j.patrec.2013.10.006, vol. 36, pp. 125-134, 2014.

- A. Ferone, L. Maddalena, Neural Background Subtraction for Pan-Tilt-Zoom Cameras, IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2013.2280121, vol. 44, no. 5, pp. 571-579, 2014.

- A. Petrosino, L. Maddalena, P. Pala, et al. (Eds), New Trends in Image Analysis and Processing - ICIAP 2013 Workshops, Naples, Italy, September 2013, Proceedings, Series: Lecture Notes in Computer Science, vol. 8158, Springer, ISBN 978-3-642-41189-2, 2013.

- L. Maddalena, A. Petrosino, Stopped Object Detection by Learning Foreground Model in Videos, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2013.2242092, vol.24, no.5, pp.723-735, May 2013.

- L. Maddalena, A. Petrosino, The SOBS algorithm: What are the limits?, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), DOI: 10.1109/CVPRW.2012.6238922, pp.21-26, 16-21 June 2012.

- S.K. Pal, A. Petrosino, L. Maddalena (Eds), Handbook on Soft Computing for Video Surveillance, Chapman & Hall/CRC, ISBN: 9781439856840, 2012.

- L. Maddalena, A. Petrosino, Neural Networks in Video Surveillance: A Perspective View, in S.K. Pal, A. Petrosino, L. Maddalena (Eds), Handbook on Soft Computing for Video SurveillanceChapman & Hall/CRC, ISBN: 9781439856840, pp. 59-78, 2012.

- V. Cozza, M.R. Guarracino, L. Maddalena, A. Baroni, Dynamic Clustering Detection through Multi-valued Descriptors of Dermoscopic Images, Statistics in Medicine, John Wiley & Sons, Ltd., DOI: 10.1002/sim.4285, Vol. 30, Issue 20, pp. 2536–2550, 2011. [Impact Factor: 2.328].

- G. Gemignani, L. Maddalena, A. Petrosino, Real-time Stopped Object Detection by Neural Dual Background Modeling, in Workshop Proceedings of Euro-Par 2010, Lecture Notes in Computer Science, Springer Berlin/Heidelberg, DOI: 10.1007/978-3-642-21878-1_44, Vol. 6586, pp. 327-334, 2011.

- L. Maddalena, A. Petrosino, A Fuzzy Spatial Coherence-based Approach to Background/ Foreground Separation for Moving Object Detection, Neural Computing and Applications, Springer London, DOI 10.1007/s00521-009-0285-8 (Published online on 23 June 2009), Vol. 19, pp. 179–186, 2010. [Impact Factor: 0.627]

- L. Maddalena, A. Petrosino, G. Laccetti, A Fusion-based Approach to Digital Movie Restoration, Pattern Recognition, DOI 10.1016/j.patcog.2008.10.026, Vol. 42, no. 7, pp. 1485-1495, 2009. [Impact Factor: 3.279]

- L. Maddalena, A. Petrosino, A. Ferone, Object Motion Detection and Tracking by an Artificial Intelligence Approach, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 22, No. 5, World Scientific Publishing Company, Singapore, DOI 10.1142/S0218001408006612, pp. 915-928, 2008. [Impact Factor: 0.66]

- L. Maddalena, A. Petrosino, A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications, IEEE Transactions on Image Processing, DOI 10.1109/TIP.2008.924285, Vol. 17, no. 7, pp. 1168-1177, July 2008. [Impact Factor: 3.315]

- L. Maddalena, A. Petrosino, Restoration of Blue Scratches in Digital Image Sequences, Image and Vision Computing, Vol. 26, Elsevier, The Netherlands, pp. 1314–1326, 2008. [Impact Factor: 1.496]

- L. Maddalena, A. Petrosino, Moving Object Detection for Real-Time Applications, in Proceedings of 14th International Conference on Image Analysis and Processing (ICIAP’07), IEEE Computer Society, Washington, DC, USA, ISBN 0-7695-2877-5, DOI 10.1109/ICIAP.2007.89, pp. 542-547, 2007.

- F. Di Donna, L. Maddalena, A. Petrosino, About the embedding of color uncertainty in CBIR systems, in F. Fasulli, S. Mitra, G. Pasi (eds.), Applications of Fuzzy Sets Theory, Proceedings of 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Lecture Notes in Computer Science, Vol. 4578, Sublibrary Lecture Notes in Artificial Intelligence, Springer-Verlag, ISBN: 978-3-540-73399-7, DOI 10.1007/978-3-540-73400-0_50, 2007.

- L. Maddalena, Efficient Methods for Scratch Removal in Image Sequences, in Proceedings of 11th International Conference on Image Analysis and Processing (ICIAP2001), IEEE Computer Society, ISBN 0-7695-1183-X, DOI 10.1109/ICIAP.2001.957067, pp 547-552, 2001.

- D. di Serafino, L. Maddalena, P. Messina, A. Murli, Some Perspectives on High-Performance Mathematical Software, in R. De Leone, A. Murli, P.M. Pardalos, G. Toraldo (eds.), “High Performance Algorithms and Software in Nonlinear Optimization”, Kluwer Academic Publishers, ISBN 0-7923-5483-4, pp. 1-23, 1998.

- D. di Serafino, L. Maddalena, A. Murli, PINEAPL: A European Project to Develop a Parallel Numerical Library for Industrial Applications, in C. Lengauer, M. Griebl, S. Gorlatch (eds.), “Euro-Par'97 Parallel Processing”, Lecture Notes in Computer Science, n. 1300, Springer, ISBN 3-540-63440-1, pp. 1333-1339, 1997. [Impact Factor: 0.515]

- M. D'Apuzzo, L. Maddalena, Parallelization Strategies for the B-Spline Curve Interpolation Problem, in A. Le Méhauté, C. Rabut, L.L. Schumaker (eds.), “Curves and Surfaces with Applications in CAGD”, Vanderbilt University Press, ISBN 0-8265-1293-3, pp. 1-8, 1997.

- M. D'Apuzzo, L. Maddalena, A Parallel Algorithm for Parametric Cubic B-Spline Curves Interpolation, in Neural, Parallel & Scientific Computing, Dynamic Publishers Inc, USA, ISSN 1061-5396, vol. 5, pp. 201-220, 1997.


Last update: June 23rd, 2017