@conference {,
	title = {An agent-based WCET analysis for Top-View Person Re-Identification},
	booktitle = {1st International Workshop on Real-Time Compliant Multi-Agent Systems (RTcMAS)},
	year = {2018},
	publisher = {CEUR Workshop Proceedings},
	organization = {CEUR Workshop Proceedings},
	address = {Stockholm},
	abstract = {<p>Person re-identification is a challenging task for improving and personalising the shopping experience in an intelligent retail environment. A new Top View Person Re-Identification (TVPR) dataset of 100 persons has been collected and described in a previous work. This work estimates the Worst Case Execution Time (WCET) for the features extraction and classification steps. Such tasks should not exceed the WCET, in order to ensure the effectiveness of the proposed application. In fact, after the features extraction, the classification process is performed by selecting the first passage under the camera for training and using the others as the testing set. Furthermore, a gender classification is exploited for improving retail applications. We tested all feature sets using k-Nearest Neighbors, Support Vector Machine, Decision Tree and Random Forest classifiers. Experimental results prove the effectiveness of the proposed approach, achieving good performance in terms of Precision, Recall and F1-score.</p>
},
	keywords = {Person re-identification, Real-time, Retail, RGB-D camera, WCET},
	url = {http://ceur-ws.org/Vol-2156/paper4.pdf},
	author = {Marina Paolanti and Valerio Placidi and Michele Bernardini and Andrea Felicetti and Rocco Pietrini and Emanuele Frontoni}
}
@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}
}
@article {Paolanti2018,
	title = {Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection},
	journal = {Sensors},
	volume = {18},
	number = {10},
	year = {2018},
	month = {oct},
	pages = {3471},
	publisher = {{MDPI} {AG}},
	doi = {10.3390/s18103471},
	url = {https://doi.org/10.3390/s18103471},
	author = {Marina Paolanti and Luca Romeo and Daniele Liciotti and Annalisa Cenci and Emanuele Frontoni and Primo Zingaretti}
}
@article {paolanti2017modelling,
	title = {Modelling and Forecasting Customer Navigation in Intelligent Retail Environments},
	journal = {Journal of Intelligent \& Robotic Systems},
	year = {2017},
	month = {10},
	pages = {1{\textendash}16},
	abstract = {<p>Understanding shopper behaviour is one of the keys to success for retailers. In particular, it is necessary that managers know which retail attributes are important to which shoppers and their main goal is to improve the consumer shopping experience. In this work, we present sCREEN (Consumer REtail ExperieNce), an intelligent mechatronic system for indoor navigation assistance in retail environments that minimizes the need for active tagging and does not require metrics maps. The tracking system is based on Ultra-wideband technology. The digital devices are installed in the shopping carts and baskets and sCREEN allows modelling and forecasting customer navigation in retail environments. This paper contributes the design of an intelligent mechatronic system with the use of a novel Hidden Markov Models (HMMs) for the representation of shoppers{\textquoteright} shelf/category attraction and usual retail scenarios such as product out of stock or changes on store layout. Observations are viewed as a perceived intelligent system performance. By forecasting consumers next shelf/category attraction, the system can present the item location information to the consumer, including a walking route map to a location of the product in the retail store, and/or the number of an aisle in which the product is located. Effective and efficient design processes for mechatronic systems are a prerequisite for competitiveness in an intelligent retail environment. Experiments are performed in a real retail environment that is a German supermarket, during business hours. A dataset, with consumers trajectories, timestamps and the corresponding ground truth for training as well as evaluating the HMM, have been built and made publicly available. The results in terms of Precision, Recall and F1-score demonstrate the effectiveness and suitability of our approach, with a precision value that exceeds the 76\% in all test cases.</p>
},
	issn = {0921-0296},
	doi = {10.1007/s10846-017-0674-7},
	url = {https://doi.org/10.1007/s10846-017-0674-7},
	author = {Marina Paolanti and Daniele Liciotti and R. Pietrini and Adriano Mancini and Emanuele Frontoni}
}
@inbook {liciotti2017person,
	title = {Person Re-identification Dataset with RGB-D Camera in a Top-View Configuration},
	booktitle = {Video Analytics. Face and Facial Expression Recognition and Audience Measurement},
	volume = {1},
	year = {2017},
	author = {Daniele Liciotti and Marina Paolanti and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti}
}
@conference {Paolanti2016,
	title = {Accurate modeling of the microwave treatment in reverberating chamber. sanitation of agro food material},
	booktitle = {Mediterranean Microwave Symposium},
	volume = {2016-January},
	year = {2016},
	note = {cited By 0; Conference of 15th IEEE Mediterranean Microwave Symposium, MMS 2015 ; Conference Date: 30 November 2015 Through 2 December 2015; Conference Code:119001},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	abstract = {The microwave heating is useful for drying of foodstuff, disinfestation of works of art, phitosanitary treatment and disinfection of packaging according to current international guidelines. The computer simulation allows predicting and monitoring the heating process. The microwave treatment can nevertheless present some problems such as the presence of highly heated areas (hot spots) or areas with poor radiation due to particular shapes. Simulation of complex systems has evolved into a research discovery tool: such models and simulations, drawing upon the dramatic scale up of computational power and associated architectures and algorithmic innovation, can address complex systems with many degrees of freedom and with multiple length and time scales of interest. Using specific programs, the distribution of heating power in objects to be treated, even if complex shapes, can be predicted so as to be able to define the possibility, the time necessary to the processing, the power to be transmitted in the chamber and any repair or protection to cover the most sensitive areas. It can also predict the behavior of irradiation in the presence of other entities such as nails or pests. In order to perform simulation, important data are the geometry of the object or objects in the case of multiple loading and their dielectric characteristics. As a result we obtain the distribution of heating power. {\textcopyright} 2015 IEEE.},
	keywords = {Computational power, Degrees of freedom (mechanics), Dielectric characteristics, Electromagnetic heating, Electromagnetics, Heating, Microwave heating, Microwave ovens, Microwave treatment, Microwaves, Rail-to-rail input, Reverberating chamber, Shape, Temperature measurement},
	isbn = {9781467376020},
	issn = {21579822},
	doi = {10.1109/MMS.2015.7375447},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962766321\&partnerID=40\&md5=baeea86f228c70b1b41ce30e1d94e5a3},
	author = {Marina Paolanti and Bacchiani, R.a and Emanuele Frontoni and Adriano Mancini and De Leo, R.a and Primo Zingaretti and Bisceglia, B.b}
}
@conference {naspetti2016automatic,
	title = {Automatic analysis of eye-tracking data for augmented reality applications: A prospective outlook},
	booktitle = {International Conference on Augmented Reality, Virtual Reality and Computer Graphics},
	year = {2016},
	pages = {217{\textendash}230},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	author = {Naspetti, Simona and Roberto Pierdicca and Mandolesi, Serena and Marina Paolanti and Emanuele Frontoni and Zanoli, Raffaele}
}
@conference {innocenti2016development,
	title = {Development of an automatic procedure to mechanically characterize soft tissue materials},
	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 = {Innocenti, Bernardo and Lambert, Pierre and Larrieu, Jean-Charles and Pianigiani, Silvia and Marina Paolanti and Michele Bernardini and Annalisa Cenci and Emanuele Frontoni}
}
@conference {Paolanti2016,
	title = {Exposure protocol setup for agro food treatment. Method and system for developing an application for heating in reverberation chamber},
	booktitle = {Mediterranean Microwave Symposium},
	volume = {2016-January},
	year = {2016},
	note = {cited By 0; Conference of 15th IEEE Mediterranean Microwave Symposium, MMS 2015 ; Conference Date: 30 November 2015 Through 2 December 2015; Conference Code:119001},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	abstract = {Reverberation chambers are an important tool in various industrial applications: the microwave heating is useful for disinfestation of works of art, disinfection of packaging according to current international guidelines, drying of foodstuff, phitosanitary treatment. We built an application that simulates the heating of an object, assimilated to a sphere, in reverberation chamber. This application is useful for electromagnetic simulation and it is easy to use for inexperienced person in electromagnetic field. It is an user-friendly application featuring a rich graphical user interface. It can visualise the distribution of temperature in objects to be treated and it is possible to insert the power to be transmitted in the chamber. This application is built in COMSOL Multiphysics, an environment for various physics and engineering applications, especially coupled phenomena, or multiphysics. The packages are cross-platform (Windows, Mac, Linux) and they enable you to create accurate models in a very fast way. {\textcopyright} 2015 IEEE.},
	keywords = {Anechoic chambers, Computer operating systems, Comsol multiphysics, Distribution of temperature, Electromagnetic fields, Electromagnetic heating, Electromagnetic simulation, Electromagnetics, Engineering applications, Graphical user interfaces, Heat treatment, Heating, Microwave heating, Microwave theory and techniques, Microwaves, Reverberation, Reverberation chambers, User interfaces},
	isbn = {9781467376020},
	issn = {21579822},
	doi = {10.1109/MMS.2015.7375372},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962767504\&partnerID=40\&md5=9dfed9abd31c8c2fc9ca66541bb1e6a6},
	author = {Marina Paolanti and Pollini, R.a and Emanuele Frontoni and Adriano Mancini and De Leo, R.a and Primo Zingaretti and Bisceglia, B.b}
}
@conference {frontoni2016optimal,
	title = {Optimal production planning by reusing components},
	booktitle = {Control and Automation (MED), 2016 24th Mediterranean Conference on},
	year = {2016},
	pages = {1272{\textendash}1277},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Emanuele Frontoni and Fabrizio Marinelli and Marina Paolanti and Roberto Rosetti and Primo Zingaretti}
}
@conference {paolanti2015automatic,
	title = {Automatic Classification for Anti Mixup Events in Advanced Manufacturing System},
	booktitle = {ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference},
	year = {2015},
	pages = {V009T07A061{\textendash}V009T07A061},
	publisher = {American Society of Mechanical Engineers},
	organization = {American Society of Mechanical Engineers},
	author = {Marina Paolanti and Emanuele Frontoni and Adriano Mancini and Roberto Pierdicca and Primo Zingaretti}
}
