@conference {,
	title = {A Cloud Computing Architecture to Map Trawling Activities Using Positioning Data},
	year = {2019},
	abstract = {<p>Descriptive and spatially-explicit information on fisheries plays a key role for an efficient integrated management of the maritime activities and the sustainable use of marine resources. However, this information is today still hard to obtain and, consequently, is a major issue for implementing Marine Spatial Planning (MSP). Since 2002, the Automatic Identification System (AIS) has been undergoing a major development allowing now for a real time geo-tracking and identification of equipped vessels of more than 15m in length overall (LOA) and, if properly processed, for the production of adequate information for MSP. Such monitoring systems or other low-cost and low-burden solutions are still missing for small vessels (LOA \&lt; 12m), whose catches and fishing effort remain spatially unassessed and, hence, unregulated. In this context, we propose an architecture to process vessel tracking data, understand the behaviour of trawling fleets and map related fishing activities. It could be used to process not only AIS data but also positioning data from other low cost systems as IoT sensors that share their position over LoRa and 2G/3G/4G links. Analysis gives back important and verified data (overall accuracy of 92\% for trawlers) and opens up development perspectives for monitoring small scale fisheries, helping hence to fill fishery data gaps and obtain a clearer picture of the fishing grounds as a whole.</p>
},
	doi = {10.1115/DETC2019-97779},
	url = {https://doi.org/10.1115/DETC2019-97779},
	author = {Alessandro Galdelli and Adriano Mancini and Anna Nora Tassetti and Carmen Ferra Vega and Enrico Armelloni and Giuseppe Scarcella and Gianna Fabi and Primo Zingaretti}
}
@conference {8545397,
	title = {Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment},
	booktitle = {2018 24th International Conference on Pattern Recognition (ICPR)},
	year = {2018},
	month = {Aug},
	pages = {1384-1389},
	abstract = {Detecting and tracking people is a challenging task in a persistent crowded environment (i.e. retail, airport, station, etc.) for human behaviour analysis of security purposes. This paper introduces an approach to track and detect people in cases of heavy occlusions based on CNNs for semantic segmentation using top-view depth visual data. The purpose is the design of a novel U-Net architecture, U-Net3, that has been modified compared to the previous ones at the end of each layer. In particular, a batch normalization is added after the first ReLU activation function and after each max-pooling and up-sampling functions. The approach was applied and tested on a new and public available dataset, TVHeads Dataset, consisting of depth images of people recorded from an RGB-D camera installed in top-view configuration. Our variant outperforms baseline architectures while remaining computationally efficient at inference time. Results show high accuracy, demonstrating the effectiveness and suitability of our approach.},
	keywords = {Cameras, Computer architecture, Fractals, Head, Image segmentation, Semantics, Training},
	issn = {1051-4651},
	doi = {10.1109/ICPR.2018.8545397},
	author = {Daniele Liciotti and Marina Paolanti and R. Pietrini and Emanuele Frontoni and Primo Zingaretti}
}
@conference {cenci2016cloud,
	title = {A cloud-based healthcare infrastructure for medical device integration: The bilirubinometer case study},
	booktitle = {12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)},
	year = {2016},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Annalisa Cenci and Daniele Liciotti and Ercoli, Ilaria and Primo Zingaretti and Virgilio Paolo Carnielli}
}
@article {callegari2016current,
	title = {Current Developments in Robotics and Mobile Machines},
	journal = {Journal of Intelligent \& Robotic Systems},
	volume = {81},
	number = {2},
	year = {2016},
	pages = {167{\textendash}168},
	publisher = {Springer Netherlands},
	author = {Callegari, Massimo and Primo Zingaretti}
}
@conference {pierdicca2016cyberarchaeology,
	title = {Cyberarchaeology: improved way findings for archaeological parks through mobile augmented reality},
	booktitle = {International Conference on Augmented Reality, Virtual Reality and Computer Graphics},
	year = {2016},
	pages = {172{\textendash}185},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	author = {Roberto Pierdicca and Emanuele Frontoni and Primo Zingaretti and Eva Savina Malinverni and Galli, Andrea and Marcheggiani, Ernesto and Costa, Carlos Smaniotto}
}
@article {Callegari2015,
	title = {Current Developments in Robotics and Mobile Machines},
	journal = {Journal of Intelligent and Robotic Systems: Theory and Applications},
	year = {2015},
	note = {cited By 0; Article in Press},
	doi = {10.1007/s10846-015-0281-4},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84944707292\&partnerID=40\&md5=4ebe2e97ab2603b9e7503d4b595f438b},
	author = {Callegari, M. and Primo Zingaretti}
}
@article {Frontoni2013509,
	title = {Customers{\textquoteright} activity recognition in intelligent retail environments},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {8158 LNCS},
	year = {2013},
	note = {cited By 6},
	pages = {509-516},
	abstract = {This paper aims to propose a novel idea of an embedded intelligent system where low cost embedded vision systems can analyze human behaviors to obtain interactivity and statistical data, mainly devoted to customer behavior analysis. In this project we addressed the need for new services into the shop, involving consumers more directly and instigating them to increase their satisfaction and, as a consequence, their purchases. To do this, technology is very important and allows making interactions between costumers and products and between customers and the environment of the shop a rich source of marketing analysis. We construct a novel system that uses vertical RGBD sensor for people counting and shelf interaction analysis, where the depth information is used to remove the affect of the appearance variation and to evaluate customers{\textquoteright} activities inside the store and in front of the shelf, with products. Also group interactions are monitored and analyzed with the main goal of having a better knowledge of the customers{\textquoteright} activities, using real data in real time. Even if preliminary, results are convincing and most of all the general architecture is affordable in this specific application, robust, easy to install and maintain and low cost. {\textcopyright} 2013 Springer-Verlag.},
	doi = {10.1007/978-3-642-41190-8_55},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84887121570\&partnerID=40\&md5=8a6e9b3442d8d4dbd47b404bd8248a7b},
	author = {Emanuele Frontoni and Raspa, P. and Adriano Mancini and Primo Zingaretti and Valerio Placidi}
}
@conference {Mancini2011745,
	title = {Coalition formation for unmanned quadrotors},
	booktitle = {Proceedings of the ASME Design Engineering Technical Conference},
	volume = {3},
	number = {PARTS A AND B},
	year = {2011},
	note = {cited By 1},
	pages = {745-752},
	abstract = {Today Unmanned Aerial Vehicles (UAVs) and in particular quad-rotors represent novel platforms to accomplish a wide set of missions as surveillance, Search \& Rescue, inspection, pho-togrammetry. The main limitation of these vehicles is represented by the restricted operating area. The area is mainly limited by power supplies (batteries or fuel). A strategy to overcame this limitation is to increase the number of vehicles forming a coalition. The main benefit of coalition formation are the extended mission range and the capability to increase the sensorial set. Each vehicles is a part of a dynamic network that must be properly coordinated in order to optimize all the available resources. In this paper a new framework for simulation of unmanned vehicles in cooperative scenarios is first presented. The framework is based on the interaction of a physics-engine, which simulates the dynamics of vehicles and their interaction with world increasing the realism of simulation, and a simulation environment where the high-level strategy is designed/developed. A Model Predictive Control (MPC) is then introduced to solve the problem of leader-follower applied to quad-rotors. Using the developed framework and the MPC technique is possible to easily instantiate the coalition minimizing also a cost function. The obtained results from the control strategy point of view show that positioning error at steady state is equal to zero. The MPC allows also the modelling of different conflicting constraints as the control actions, positioning error, and fuel/energy consumption. {\textcopyright} 2011 by ASME.},
	doi = {10.1115/DETC2011-48904},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84863584753\&partnerID=40\&md5=9d10818fcd0cd5219ab5df1c9eb26502},
	author = {Adriano Mancini and Benini, A. and Emanuele Frontoni and Primo Zingaretti and Sauro Longhi}
}
@conference {Zingaretti2007,
	title = {Comparison and fusion of vision and range measurements for robot pose estimation},
	booktitle = {2007 Mediterranean Conference on Control and Automation, MED},
	year = {2007},
	note = {cited By 0},
	abstract = {Multiple sensor fusion for robot pose estimation has attracted a lot of interest in recent years. Monte Carlo Localization (MCL) is a common method for self-localization of a mobile robot under the assumption that a map of the environment is available. In this paper we first compare pure vision-based with sonar-based MCL approaches in terms of localization accuracy, and then we show how the fusion of vision and range measurements improves the overall accuracy. Experiments were performed in an environment with high perceptual aliasing like our department corridors. They demonstrated that fusing simple and computationally inexpensive sensory information, coming from omnidirectional cameras and sonar sensors, can allow a mobile robot to precisely locate itself. {\textcopyright}2007 IEEE.},
	doi = {10.1109/MED.2007.4433854},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-50249102768\&partnerID=40\&md5=fbd623d1f43921d58130364b7f5c60ec},
	author = {Primo Zingaretti and Emanuele Frontoni}
}
@article {Forlani2006357,
	title = {Complete classification of raw LIDAR data and 3D reconstruction of buildings},
	journal = {Pattern Analysis and Applications},
	volume = {8},
	number = {4},
	year = {2006},
	note = {cited By 68},
	pages = {357-374},
	abstract = {LIDAR (LIght Detection And Ranging) data are a primary data source for digital terrain model (DTM) generation and 3D city models. This paper presents a three-stage framework for a robust automatic classification of raw LIDAR data as buildings, ground and vegetation, followed by a reconstruction of 3D models of the buildings. In the first stage the raw data are filtered and interpolated over a grid. In the second stage, first a double raw data segmentation is performed and then geometric and topological relationships among regions resulting from segmentation are computed and stored in a knowledge base. In the third stage, a rule-based scheme is applied for the classification of the regions. Finally, polyhedral building models are reconstructed by analysing the topology of building outlines, building roof slopes and eaves lines. Results obtained on data sets with different ground point density, gathered over the town of Pavia (Italy) with Toposys and Optech airborne laser scanning systems, are shown to illustrate the effectiveness of the proposed approach.},
	doi = {10.1007/s10044-005-0018-2},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-31944451659\&partnerID=40\&md5=55cd07722f1f7f4286ba71b656517b77},
	author = {G. Forlani and C. Nardinocchi and M. Scaioni and Primo Zingaretti}
}
@conference {Carbonaro1999241,
	title = {A comprehensive approach to image-contrast enhancement},
	booktitle = {Proceedings - International Conference on Image Analysis and Processing, ICIAP 1999},
	year = {1999},
	note = {cited By 3},
	pages = {241-246},
	abstract = {The paper describes a novel comprehensive approach to image-contrast enhancement in the spatial domain. Instead of defining another transformation function our strategy consists of adopting a general functional form, able to map different transformation functions, and in using a learning technique to select the parameter values that are optimal for the image being processed. First, local measures of spatial activity are assigned to each pixel of the image. Second, the local contrast value for each pixel is computed according to a function which is based on human visual response. Third, the parameters of a comprehensive contrast-enhancement function are selected by a genetic algorithm on the basis of the spatial activity of the image resulting from the transformation. The validity of the proposed technique is confirmed both perceptually, that is, higher fitness values correspond to the images that have been judged better by human observers, and by comparative evaluations of our algorithm with respect to classical methods. {\textcopyright} 1999 IEEE.},
	doi = {10.1109/ICIAP.1999.797602},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77956062070\&partnerID=40\&md5=bec0356d2a98fdaca54e11dd4711add0},
	author = {A. Carbonaro and Primo Zingaretti}
}
@article {Antonicelli1993125,
	title = {Camerano study on hypertension: The problem of blood pressure variability during medical visit},
	journal = {Clinical and Experimental Hypertension},
	volume = {15},
	number = {SUPPL. 1},
	year = {1993},
	note = {cited By 3},
	pages = {125-138},
	abstract = {The Camerano Study on Arterial Hypertension (AH) is a cross-sectional study, carried out on a wide population sample in a small town in Central Italy, and aimed at revealing the prevalence of certain characteristics of AH in the population examined. In particular, we studied some aspects of blood pressure (BP) levels during the medical visits. To evaluate the effects of the medical visit on BP levels, we divided the subjects into 3 groups: I) Hypertensive subjects, II) Treated hypertensive subjects, III) Normotensive subjects (control group). The Systolic Arterial Pressure (SAP) in normotensive subjects reached maximum levels during the first medical visit and then decreased in the following two controls (p<0.001). The Diastolic Arterial Pressure (DAP) did not show any significant changes during the three measurements (p=n.s.). Instead the maximum level of SAP in the hypertensive group did not appear at the First measurement but only after 5 minutes and was seen to decrease towards the end of the visit (p<0.001). Even DAP showed different levels compared to the normotensives: A decrease in BP levels was registered after 15 minutes respect to earlier measurements (p<0.01). The levels of group II were similar to those of normotensive subjects.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0027175329\&partnerID=40\&md5=f3e21a4965a8f2d45fca099ff52dfea1},
	author = {Antonicelli, R. and Gesuita, R. and Primo Zingaretti and Amadio, L. and Pagelli, P. and Cusi, D. and Paciaroni, E.}
}
@article {Antonicelli199217,
	title = {The camerano study on hypertension: The problem of arterial hypertension in the elderly},
	journal = {Archives of Gerontology and Geriatrics},
	volume = {15},
	number = {SUPPL. 1},
	year = {1992},
	note = {cited By 3},
	pages = {17-26},
	abstract = {The Camerano study on arterial hypertension (AH) was a cross-sectional study, carried out on a large population sample in a small twon in central Italy. The main goal was to reveal both the prevalence and certain characteristics of AH in the population examined. The main resuts, can be summarized as follows: (i) The occurrence of AH in the old (65-74 years) and very old (>=75 years) groups was 43.3 and 57.4\%, respectively. (ii) isolated systolic hypertension (ISH) was found in 1.7, 23.6 and 3.9\% in the adult, old and very old subjects, respectively. (iii) The association of AH with some of the more common cardiovascular risk factors (dyslipidemia, hyperglycemia, obesity, etc.) was significant for all the risk factors in the adult group, while in the old group there was a significant association only with the body mass index. (iv) Blood pressure (BP) values during the medical visits were evaluated, and adult versus old subjects were compared, but no significant differences were found. {\textcopyright} 1992 Elsevier Science Pablishers B.V. All rights reserved.},
	doi = {10.1016/S0167-4943(05)80003-2},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0026662064\&partnerID=40\&md5=32b7c6611b71b6ca2f62c62434cf5ae9},
	author = {Antonicelli, R. and Gesuita, R. and Primo Zingaretti and Amadio, L. and Pacelli, P. and Cusi, D. and Paciaroni, E.}
}
