Claudio Vairo

Claudio Vairo
Italian National Research Council | CNR · Institute of Information Science and Technology "Alessandro Faedo" ISTI

Doctor of Philosophy

About

49
Publications
33,824
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Introduction
Claudio Vairo currently works at the Institute of Information Science and Technology "Alessandro Faedo" ISTI, Italian National Research Council. Claudio did research in Wireless Sensor Networks, Distributed Computing, Databases and Computer Communications (Networks). Currently, he does research in Multimedia Information Retrieval, Deep Learning, Face Recognition. His most recent publication is 'Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules'.

Publications

Publications (49)
Article
This paper presents a novel solution to automatically count vehicles in a parking lot using images captured by smart cameras. Unlike most of the literature on this task, which focuses on the analysis of single images, this paper proposes the use of multiple visual sources to monitor a wider parking area from different perspectives. The proposed mul...
Conference Paper
Full-text available
Artificial Intelligence (AI) is increasingly employed to develop public services that make life easier for citizens. In this abstract, we present some research topics and applications carried out by the Artificial Intelligence for Media and Humanities (AIMH) laboratory of the ISTI-CNR of Pisa about the study and development of AI-based services for...
Conference Paper
Full-text available
In this short paper, we report the activities of the Artificial Intelligence for Media and Humanities (AIMH) laboratory of the ISTI-CNR related to Public Administration. In particular, we present some AI-based public services serving the citizens that help achieve common goals beneficial to the society, putting humans at the epicenter. Through the...
Conference Paper
Full-text available
In this short paper, we report the activities of the Artificial Intelligence for Media and Humanities (AIMH) laboratory of the ISTI-CNR related to Cy-bersecurity. We discuss about our active research fields, their applications and challenges. We focus on face recognition and detection of adversarial examples and deep fakes. We also present our acti...
Chapter
VISIONE is a content-based retrieval system that supports various search functionalities (text search, object/color-based search, semantic and visual similarity search, temporal search). It uses a full-text search engine as a search backend. In the latest version of our system, we modified the user interface, and we made some changes to the techniq...
Technical Report
Full-text available
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability. This report summarize the 2021 activiti...
Preprint
Full-text available
This paper presents a communication framework built to simplify the construction of robotic ecologies, i.e., networks of heterogeneous computational nodes interfaced with sensors, actuators, and mobile robots. Building integrated ambient intelligence (AmI) solutions out of such a wide range of heterogeneous devices is a key requirement for a range...
Preprint
Full-text available
This paper presents a novel solution to automatically count vehicles in a parking lot using images captured by smart cameras. Unlike most of the literature on this task, which focuses on the analysis of single images, this paper proposes the use of multiple visual sources to monitor a wider parking area from different perspectives. The proposed mul...
Article
Full-text available
This paper describes in detail VISIONE, a video search system that allows users to search for videos using textual keywords, the occurrence of objects and their spatial relationships, the occurrence of colors and their spatial relationships, and image similarity. These modalities can be combined together to express complex queries and meet users' n...
Chapter
This paper presents the second release of VISIONE, a tool for effective video search on large-scale collections. It allows users to search for videos using textual descriptions, keywords, occurrence of objects and their spatial relationships, occurrence of colors and their spatial relationships, and image similarity. One of the main features of our...
Technical Report
Full-text available
The Artificial Intelligence for Media and Humanities laboratory (AIMH) has the mission to investigate and advance the state of the art in the Artificial Intelligence field, specifically addressing applications to digital media and digital humanities, and taking also into account issues related to scalability. This report summarize the 2020 activiti...
Preprint
Full-text available
In this paper, we describe VISIONE, a video search system that allows users to search for videos using textual keywords, occurrence of objects and their spatial relationships, occurrence of colors and their spatial relationships, and image similarity. These modalities can be combined together to express complex queries and satisfy user needs. The p...
Article
Full-text available
The telecommunication industry has seen rapid growth in the last few decades. This trendhas been fostered by the diffusion of wireless communication technologies. In the city of Matera,Italy (European capital of culture 2019), two applications of 5G for public security have been testedby using an aerial drone: the recognition of objects and people...
Technical Report
Full-text available
The Artificial Intelligence for Multimedia Information Retrieval (AIMIR) research group is part of the NeMIS laboratory of the Information Science and Technologies Institute ``A. Faedo'' (ISTI) of the Italian National Research Council (CNR). The AIMIR group has a long experience in topics related to: Artificial Intelligence, Multimedia Information...
Chapter
Full-text available
Since the 1970’s the Content-Based Image Indexing and Retrieval (CBIR) has been an active area. Nowadays, the rapid increase of video data has paved the way to the advancement of the technologies in many different communities for the creation of Content-Based Video Indexing and Retrieval (CBVIR). However, greater attention needs to be devoted to th...
Chapter
Full-text available
Convolutional neural networks have reached extremely high performances on the Face Recognition task. These models are commonly trained by using high-resolution images and for this reason, their discrimination ability is usually degraded when they are tested against low-resolution images. Thus, Low-Resolution Face Recognition remains an open challen...
Conference Paper
Full-text available
In this article, we present a scenario for monitoring the occupancy of parking spaces in the historical city of Lucca (Italy) based on the use of intelligent cameras and the most modern technologies of artificial intelligence. The system is designed to use different smart-camera prototypes: where the connection to the power grid is available, we pr...
Conference Paper
Full-text available
Since the publication of the AlexNet in 2012, Deep Convolutional Neural Network models became the most promising and powerful technique for image representation. Specifically, the ability of their inner layers to extract high level abstractions of the input images, called deep features vectors, has been employed. Such vectors live in a high dimensi...
Conference Paper
Full-text available
Negli ultimi anni la Cyber Security ha acquisito una connotazione sempre più vasta, andando oltre la concezione di semplice sicurezza dei sistemi in-formatici e includendo anche la sorveglianza e la sicurezza in senso lato, sfruttando le ultime tecno-logie come ad esempio l'intelligenza artificiale. In questo contributo vengono presentate le princi...
Article
Full-text available
Video surveillance systems have become an indispensable tool for the security and organization of public and private areas. Most of the current commercial video surveillance systems rely on a classical client/server architecture to perform face and object recognition. In order to support the more complex and advanced video surveillance systems prop...
Conference Paper
Full-text available
In this paper we present a Wireless Sensor Network (WSN), which is intended to provide a scalable solution for active cooperative monitoring of wide geographical areas. The system is designed to use different smart-camera prototypes: where the connection to the power grid is available a powerful embedded hardware implements a Deep Neural Network, o...
Conference Paper
With the advent of deep learning based methods, facial recognition algorithms have become more effective and efficient. However, these algorithms have usually the disadvantage of requiring the use of dedicated hardware devices, such as graphical processing units (GPUs), which pose restrictions on their usage on embedded devices with limited computa...
Article
Full-text available
Smart Home has gained widespread attention due to its flexible integration into everyday life. Pervasive sensing technologies are used to recognize and track the activities that people perform during the day, and to allow communication and cooperation of physical objects. Usually, the available infrastructures and applications leveraging these smar...
Conference Paper
Full-text available
Face verification is a key task in many application fields, such as security and surveillance. Several approaches and methodologies are currently used to try to determine if two faces belong to the same person. Among these, facial landmarks are very important in forensics, since the distance between some characteristic points of a face can be used...
Article
Full-text available
A smart camera is a vision system capable of extracting application-specific information from the captured images. The paper proposes a decentralized and efficient solution for visual parking lot occupancy detection based on a deep Convolutional Neural Network (CNN) specifically designed for smart cameras. This solution is compared with state-of-th...
Chapter
We present a data benchmark for the assessment of human activity recognition solutions, collected as part of the EU FP7 RUBICON project, and available to the scientific community. The dataset provides fully annotated data pertaining to numerous user activities and comprises synchronized data streams collected from a highly sensor-rich home environm...
Article
Robotic ecologies are networks of heterogeneous robotic devices pervasively embedded in everyday environments, where they cooperate to perform complex tasks. While their potential makes them increasingly popular, one fundamental problem is how to make them both autonomous and adaptive, so as to reduce the amount of preparation, pre-programming and...
Article
Robotic ecologies are systems made out of several robotic devices, including mobile robots, wireless sensors and e�ectors embedded in everyday environments, where they cooperate to achieve complex tasks. This paper demonstrates how endowing robotic ecologies with information processing algorithms such as perception, learning, planning, and novelty...
Article
The detection and tracking of composite events in Wireless Sensor Networks often employ ad-hoc solutions that aim at detecting and tracking only specific types of events or use generic query languages that are not specifically built to manage events. We propose a new query language and an in-network query processing solution that enable the definit...
Article
Wireless sensor networks (WSN) are often used to monitor environmental data because of their low cost. However, writing applications for such a technology requires not trivial programming skills. Moreover it is not easy to find available general purpose tools that can be used to perform a monitoring task with a WSN because usually such tools are fo...
Chapter
Ambient Intelligence (AmI) applications need information about the surrounding environment. This can be collected by means of Wireless Sensor Networks (WSN) that also analyze and build forecasts for applications. The RUBICON Learning Layer implements a distributed neural computation over WSN. In this system, measurements taken by sensors are combin...
Conference Paper
Tracking moving objects is one important feature of wireless sensor networks. It is of interest in intrusion detection, traffic monitoring, security applications, and environmental monitoring. Current approaches to event tracking either focus on ad-hoc solutions to track specific objects, or address specific sensors or transducers as sources of dat...
Thesis
Full-text available
This thesis presents a system (MaD-WiSe) for the efficient management of data in Wireless Sensor Networks (WSN) in static scenarios and provides various optimization techniques validated by experimental results on a real sensor network. The thesis also introduces a new declarative language (EQL) to express composite events to be detected and tracke...
Poster
Full-text available
The poster presents the architecture of the RUBICON robotic ecology, i.e. an heterogeneous system of robotic devices including mobile robots, wireless sensors and actuator networks (WSAN) and automated home appliances. The poster presents the validation of the concept in two scenarios, a domestic environment and a robot indoor transport in a hospit...
Conference Paper
Full-text available
The most common use of wireless sensor networks (WSNs) is to collect environmental data from a specific area, and to channel it to a central processing node for on-line or off-line analysis. The WSN technology, however, can be used for much more ambitious goals. We claim that merging the concepts and technology of WSN with the concepts and technolo...
Conference Paper
One of the most promising use of Wireless Sensor Networks is in the field of the event warning applications. However, depending on the communication scheme adopted, the amount of the exchanged data may be huge, with large energy consumption. In this paper we study the efficiency of two approaches to composite event detection in Wireless Sensor Netw...
Conference Paper
Current approaches to the query of wireless sensor networks address specific sources such as individual sensors or transducers. We believe that it is important to have a higher level mechanism of abstraction for querying a sensor network. In this work we aim at querying complex events, where such an event is modeled as a condition computed over a c...
Article
Wireless sensor networks (WSN) are composed of several sensors having limited memory, processing power, communication bandwidth, and energy, which cooperate in performing a given task. The use of the database paradigm has emerged in the last few years as a viable solution to manage data in such a context. In this paper we present the MaD-WiSe syste...
Conference Paper
Full-text available
This paper proposes a new method for optimizing in-network distributed queries that perform join of data produced simultaneously by different sensors in a wireless sensor network. We adopt a modified version of the standard join operator that relates tuples having the same timestamp, and an optimized version of it, which provides on-demand, pull-mo...
Conference Paper
Full-text available
SMEPP Light is a middleware for Wireless Sensor Networks (WSNs) based on mote-class sensors. It is derived from the specification developed under the framework of the SMEPP project, to deal with the hardware and software constraints of WSNs. SMEPP Light features group management, group-level security policies, mechanisms for query injection and dat...

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Projects (2)