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Giambattista Gennari

dblp:81/1243 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Video understanding and tracking · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Video understanding and tracking › multi-object tracking
group tracking
0.012004
Probabilistic Data Association Methods in Visual Tracking of Group · CVPR (2) 2004
Computer vision › Video understanding and tracking
object tracking
0.012004
Probabilistic Data Association Methods in Visual Tracking of Group · CVPR (2) 2004

Methods — techniques the papers use, named apart from their topics

probabilistic data association · 0.0
YearPublicationVenuePosition
2023 The Post-pandemic Effects on IoT for Safety: The Safe Place Project
abstract
COVID-19 had substantial effects on the IoT community which designs systems for safety: the urge to face masks worn by everyone, the analysis of crowds to avoid the spread of the disease, and the sanitization of public environments has led to exceptional research acceleration and fast engineering of the related solutions. Now that the pandemic is losing power, some applications are becoming less important, while others are proving to be useful regardless of the criticality of COVID-19. The Safe Place project is a prime example of this situation (DATE23 MPP category: final stage). Safe Place is an Italian 3M euro regional industrial/academic project, financed by European funds, created to ensure a multidisciplinary choral reaction to COVID-19 in critical environments such as rest homes and public places. Safe Place consortium was able to understand what is no longer useful in this post-pandemic period, and what instead is potentially attractive for the market. For example, the detection of face masks has little importance, while sanitization does have much. This paper shares such analysis, which emerged through a co-design process of three public Safe Place project demonstrators, involving heterogeneous figures spanning from scientists to lawyers.
Federico Cunico, Luigi Capogrosso, Alberto Castellini, Francesco Setti, Patrik Pluchino, Filippo Zordan, Valeria Santus, Anna Spagnolli, Stefano Cordibella, Giambattista Gennari, Mauro Borgo, Alberto Sozza, Stefano Troiano, Roberto Flor, Andrea Zanella, Alessandro Farinelli, Luciano Gamberini, Marco Cristani
DATE10
2004 Probabilistic Data Association Methods in Visual Tracking of Group
Giambattista Gennari, Gregory D. Hager
CVPR (2)1