Lucia Maddalena

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Alfredo PetrosinoUniversity of Naples ParthenopeVerified email at uniparthenope.it
Mario R GuarracinoUniversity of Cassino and Souther LazioVerified email at cnr.it
Ilaria GranataInstitute for high performance computing and networking (ICAR) - CNRVerified email at icar.cnr.it
Ichcha ManipurUniversity of CambridgeVerified email at cam.ac.uk
Giuliano LaccettiProfessore ordinario di Informatica, Universita degli Studi di NapoliVerified email at unina.it
Mario ManzoUniversity of Naples "L'Orientale"Verified email at unior.it
Maurizio GiordanoHigh Performance Computing and Networks Institute - CNRVerified email at icar.cnr.it
Laura AntonelliResearcher, ICAR-CNRVerified email at na.icar.cnr.it
Alessio FeroneUniversity of Naples ParthenopeVerified email at uniparthenope.it
Thierry BOUWMANSLaboratoire MIA, La Rochelle UniversitéVerified email at univ-lr.fr
Panos PardalosUniversity of FloridaVerified email at ufl.edu
Sankar Kumar PalNational Science Chair, Indian Statistical InstituteVerified email at isical.ac.in
Pierre-Marc JodoinUniversité de SherbrookeVerified email at usherbrooke.ca
Valery KalyaginProfessor, National Research University Higher School of EconomicsVerified email at hse.ru
Luis SalgadoUniversidad Politécnica de MadridVerified email at upm.es
Gabriel Moyà AlcoverUniversitat de les Illes BalearsVerified email at uib.es
Massimo CamplaniAmazon Prime VideoVerified email at amazon.co.uk
Mara SangiovanniNational Research Council of Italy - Institute of High Performance Computing and Networking (CNR)Verified email at icar.cnr.it
Marina PiccirilloNational Research Council (ICAR)Verified email at icar.cnr.it
Daniela di SerafinoProfessor of Numerical Analysis, University of Naples Federico IIVerified email at unina.it

Lucia Maddalena

National Research Council

Verified email at icar.cnr.it - Homepage


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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	1058	2008
The SOBS algorithm: What are the limits? L Maddalena, A Petrosino 2012 IEEE computer society conference on computer vision and pattern …, 2012	321	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	206	2010
Towards benchmarking scene background initialization L Maddalena, A Petrosino New Trends in Image Analysis and Processing--ICIAP 2015 Workshops: ICIAP …, 2015	169	2015
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	98	2018
The 3dSOBS+ algorithm for moving object detection L Maddalena, A Petrosino Computer Vision and Image Understanding 122, 65-73, 2014	83	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	83	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	76	2017
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	59	2017
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	59	2014
Neural background subtraction for pan-tilt-zoom cameras A Ferone, L Maddalena IEEE transactions on systems, man, and cybernetics: systems 44 (5), 571-579, 2013	57	2013
Integrating imaging and omics data: a review L Antonelli, MR Guarracino, L Maddalena, M Sangiovanni Biomedical Signal Processing and Control 52, 264-280, 2019	56	2019
A self-organizing approach to detection of moving patterns for real-time applications L Maddalena, A Petrosino Advances in Brain, Vision, and Artificial Intelligence: Second International …, 2007	48	2007
Background model initialization for static cameras L Maddalena, A Petrosino Background modeling and foreground detection for video surveillance, 3-1, 2014	36	2014
A fusion-based approach to digital movie restoration L Maddalena, A Petrosino, G Laccetti Pattern Recognition 42 (7), 1485-1495, 2009	32	2009
Efficient methods for scratch removal in image sequences L Maddalena Proceedings 11th International Conference on Image Analysis and Processing …, 2001	30	2001
SDI+: A novel algorithm for segmenting dermoscopic images MR Guarracino, L Maddalena IEEE journal of biomedical and health informatics 23 (2), 481-488, 2018	29	2018
Self organizing and fuzzy modelling for parked vehicles detection L Maddalena, A Petrosino Advanced Concepts for Intelligent Vision Systems: 11th International …, 2009	26	2009
Handbook on soft computing for video surveillance SK Pal, A Petrosino, L Maddalena CRC press, 2012	23	2012

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