@article {,
	title = {Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks},
	journal = {Annals of Biomedical Engineering},
	year = {2019},
	doi = {10.1007/s10439-019-02424-9},
	url = {https://link.springer.com/article/10.1007/s10439-019-02424-9},
	author = {Alessandro Casella and Sara Moccia and Emanuele Frontoni and Dario Palladini and Elena De Momi and Leonardo S. Mattos}
}
@article {sturari2017integrating,
	title = {Integrating elevation data and multispectral high-resolution images for an improved hybrid Land Use/Land Cover mapping},
	journal = {European Journal of Remote Sensing},
	volume = {50},
	number = {1},
	year = {2017},
	pages = {1{\textendash}17},
	publisher = {Taylor \& Francis},
	author = {Mirco Sturari and Emanuele Frontoni and Roberto Pierdicca and Adriano Mancini and Eva Savina Malinverni and Anna Nora Tassetti and Primo Zingaretti}
}
@inbook {Liciotti2017,
	title = {An Intelligent RGB-D Video System for Bus Passenger Counting},
	booktitle = {Intelligent Autonomous Systems 14: Proceedings of the 14th International Conference IAS-14},
	year = {2017},
	pages = {473{\textendash}484},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	isbn = {978-3-319-48036-7},
	doi = {10.1007/978-3-319-48036-7_34},
	url = {http://dx.doi.org/10.1007/978-3-319-48036-7_34},
	author = {Daniele Liciotti and Annalisa Cenci and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti},
	editor = {Chen, Weidong and Hosoda, Koh and Menegatti, Emanuele and Shimizu, Masahiro and Wang, Hesheng}
}
@conference {contigiani2016implementation,
	title = {Implementation of a tracking system based on UWB technology in a retail environment},
	booktitle = {Mechatronic and Embedded Systems and Applications (MESA), 2016 12th IEEE/ASME International Conference on},
	year = {2016},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Marco Contigiani and R. Pietrini and Adriano Mancini and Primo Zingaretti}
}
@conference {sturari2016integrated,
	title = {An integrated mobility system using real-time data for traffic simulation},
	booktitle = {Mechatronic and Embedded Systems and Applications (MESA), 2016 12th IEEE/ASME International Conference on},
	year = {2016},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Mirco Sturari and Ludovico Catani and Adriano Mancini and Emanuele Frontoni}
}
@conference {Contigiani2014,
	title = {Indoor people localization and tracking using an energy harvesting smart floor},
	booktitle = {MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings},
	year = {2014},
	note = {cited By 0},
	abstract = {In the recent years, different kind of intelligent floors have been proposed but they are expensive and in many cases difficult to install and manage. In this paper, we previously describe the state of the art concerning smart floors designed to satisfy different applications and then we present an intelligent floor realized for localizing and tracking people in an indoor environment. The aim of this work is to propose an innovative smart floor based on an energy harvesting system able to allow the localization and analysis of the movement of the users in a specific space. The solution presented in this paper involves the use of capacitive sensors on a polymeric support to insert between solid wood and a wooden part of a floating parquet. The proposed system is part of HDOMO, an Ambient Assisted Living (AAL) project developing smart solutions for active aging. A detailed architecture of the smart floor is proposed together with a preliminary test phase.},
	doi = {10.1109/MESA.2014.6935623},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911959515\&partnerID=40\&md5=e0736aa6e37701f6950aee45457ef457},
	author = {Marco Contigiani and Emanuele Frontoni and Adriano Mancini and A. Gatto}
}
@article {Frontoni2014255,
	title = {Information management for intelligent retail environment: The shelf detector system},
	journal = {Information (Switzerland)},
	volume = {5},
	number = {2},
	year = {2014},
	note = {cited By 3},
	pages = {255-271},
	abstract = {Shelf-out-of-stock is one of the leading motivations of technology innovation in the shelf of the future. The Shelf Detector project described in this paper aims to solve the problem of data knowledge in the shelf-out-of-stock problem. This paper is mainly focused on the information layer of the system and main novelties illustrated in this work are in the information field demonstrating the huge number of insights that can be derived from the use of such a tool able to gather data in real time from the store. The tool presented is the first being installed for a long time in a high number of stores and products, demonstrating the ability to gather data and extract interesting insights. This paper aims to demonstrate the feasibility and the scalability of our system in providing a high number of data and interesting insights for store and marketing teams. The cloud based architecture developed and tested in this project is a key feature of our system together with the ability to collect data from a distributed sensor network. {\textcopyright} 2014 by the authors.},
	doi = {10.3390/info5020255},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84902662564\&partnerID=40\&md5=53f917be9988ce992278dc033771abf7},
	author = {Emanuele Frontoni and Adriano Mancini and Primo Zingaretti and Valerio Placidi}
}
@conference {Rossi2014,
	title = {Interoperability issues among smart home technological frameworks},
	booktitle = {MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings},
	year = {2014},
	note = {cited By 0},
	abstract = {Population aging may be seen both as a human success story, the triumph of public health, medical advancements and economic development over diseases and injures, and as one of the most challenging phenomena that society faces in this century. Assistive technology in all its possible implementations (from Telemedicine to Ambient Assisted Living, and Ambient Intelligence) represents an emerging answer to the needs of the new generation of older adults whose desire is to live longer with a higher quality of life. Objective of this paper is to present the results of a public financed action for the development and implementation of an {\textquoteright}integration platform{\textquoteright} for Ambient Assisted Living that includes features of home automation (energy management, safety, comfort, etc.) and introduces {\textquoteright}smart objects{\textquoteright}, to monitor activities of daily living and detect any abnormal behavior that may represent a danger, or highlight symptoms of some incipient disease.},
	doi = {10.1109/MESA.2014.6935626},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911958222\&partnerID=40\&md5=969da407b2d8bad8fa3e16dbc7d254a0},
	author = {Rossi, L. and Belli, A. and De Santis, A. and Diamantini, C. and Emanuele Frontoni and Gambi, E. and Palma, L. and Pernini, L. and Pierleoni, P. and Potena, D. and Raffaeli, L. and Spinsante, S. and Primo Zingaretti and Cacciagrano, D. and Corradini, F. and Culmone, R. and De Angelis, F. and Merelli, E. and Re, B.}
}
@article {Benini2013461,
	title = {An IMU/UWB/vision-based extended kalman filter for mini-UAV localization in indoor environment using 802.15.4a wireless sensor network},
	journal = {Journal of Intelligent and Robotic Systems: Theory and Applications},
	volume = {70},
	number = {1-4},
	year = {2013},
	note = {cited By 4},
	pages = {461-476},
	abstract = {Indoor localization of mobile agents using wireless technologies is becoming very important in military and civil applications. This paper introduces an approach for the indoor localization of a mini UAV based on Ultra-WideBand technology, low cost IMU and vision based sensors. In this work an Extended Kalman Filter (EKF) is introduced as a possible technique to improve the localization. The proposed approach allows to use a low-cost Inertial Measurement Unit (IMU) in the prediction step and the integration of vision-odometry for the detection of markers nearness the touchdown area. The ranging measurements allow to reduce the errors of inertial sensors due to the limited performance of accelerometers and gyros. The obtained results show that an accuracy of 10 cm can be achieved. {\textcopyright} 2012 Springer Science+Business Media B.V.},
	doi = {10.1007/s10846-012-9742-1},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84871640127\&partnerID=40\&md5=c45e91f48415630a0fb3a388a2ca9aaa},
	author = {Benini, A. and Adriano Mancini and Sauro Longhi}
}
@conference {Zingaretti2001113,
	title = {Image segmentation for appearance-based self-localisation},
	booktitle = {Proceedings - 11th International Conference on Image Analysis and Processing, ICIAP 2001},
	year = {2001},
	note = {cited By 4},
	pages = {113-118},
	abstract = {The paper describes a segmentation technique that well fits to an appearance-based self-localisation. In an appearance-based approach robot positioning is performed without using explicit object models. The choice of the representation of image appearances is fundamental. We use image-domain features, as opposed to interpreted characteristics of the scene, and we adopt feature vectors including both the chromatic attributes of colour sets and their mutual spatial relationships. To obtain the colour sets we perform image segmentation by autothresholding the colour histograms and taking into account what the results are addressed to. The experimental results indicate that the method performs well for a variety of environments. {\textcopyright} 2001 IEEE.},
	doi = {10.1109/ICIAP.2001.956994},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-28444487236\&partnerID=40\&md5=bcd769625c20a95b5d9454e37805508a},
	author = {Primo Zingaretti and Bossoletti, L.}
}
@conference {Giansanti1997530,
	title = {Imaging system for retinal change evaluation},
	booktitle = {IEE Conference Publication},
	number = {443 pt 2},
	year = {1997},
	note = {cited By 1},
	pages = {530-534},
	abstract = {This paper concentrates on the results of a computerised approach to the automatic extraction of numerical indexes describing morphological details of the fundus oculi. The authors proposed an imaging software system with a strict interconnection between the segmentation and recognition phases. This paper presents new image processing techniques developed to take advantage of an improved imaging system constituted by a high resolution digital camera (Kodak DCS 420) connected on top of a standard retinal camera (Topcon TRC-50VT). The higher resolution (1524{\texttimes}1024 pixels) now permits a more accurate analysis of the degree of arteriolar sclerosis and vessel narrowing, both in the proximal and distal segment, and the computation of further numerical indexes, such as vessel reflectance and permeability to fluorescein.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0031339703\&partnerID=40\&md5=0a327e5d1523689f98dd675f821ff3e2},
	author = {Giansanti, R. and Fumelli, P. and Passerini, G. and Primo Zingaretti}
}
@conference {Zingaretti1996129,
	title = {Imaging approach to real-time tracking of submarine pipeline},
	booktitle = {Proceedings of SPIE - The International Society for Optical Engineering},
	volume = {2661},
	year = {1996},
	note = {cited By 10},
	pages = {129-137},
	abstract = {The work presents a real-time underwater imaging system for identification and tracking of a submarine pipeline on a sequence of recorded images. The main novelty of this work relies on adopting an automatic approach that is entirely based on the analysis and interpretation of visual data, in spite of the various limitations upon the ability to image underwater objects. The analysis of the data is performed starting from image processing operations (like filtering, profile analysis, feature enhancement) implemented on a dedicated board. Then, the system employs an efficient dynamic process for recognizing the two contours of the pipeline. In each frame the system is able to determine the equations of the two straight lines corresponding to the pipeline contours. The system reaches satisfactory performances in real time operation: up to eight frames per second on a Pentium based PC. The results of this work are somewhat more meaningful as the input images were acquired by three cameras, mounted on a remotely operated vehicle travelling at one nautical mile an hour, without any attention either to illumination conditions or stability of cameras. This work is originated from the interest of Snamprogetti in enhancing the level of automation in submarine pipeline inspection.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0029754848\&partnerID=40\&md5=65001780f0cb94776ceeb1da3a6eec40},
	author = {Primo Zingaretti and Guido Tascini and Paolo Puliti and S.M. Zanoli}
}
@conference {Tascini1994838,
	title = {Image sequence recognition},
	booktitle = {Proceedings of SPIE - The International Society for Optical Engineering},
	volume = {2308},
	number = {p 2},
	year = {1994},
	note = {cited By 1},
	pages = {838-847},
	abstract = {Image sequence recognition is a problem that occurs in computer vision and particularly in mobile robot vision. The feature based method has been selected to solve this problem. The method first extracts the features as corners, points of curvature, lines etc. Then the correspondence of these features is established between two successive frames, and finally motion parameters and object structure from correspondences are computed. Test results demonstrating the method are included.},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0028735739\&partnerID=40\&md5=2752672a7fe70d15fb9df66474f82faf},
	author = {Guido Tascini and Primo Zingaretti}
}
