Leadership Corpus Dataset

Leadership Corpus

The aim of this corpus is automatically detecting emergent leaders in a meeting environment. It contains 16 meeting sessions. The meeting sessions are composed of the same gender, unacquainted four-person (in total 44 females and 20 males) with average age of 21.6 with 2.24 standard deviation.

The experiment takes place inside a room as follows.

Intention from Motion Dataset

Intention from Motion Dataset

A. Zunino, J. Cavazza, A. Koul, A. Cavallo, C. Becchio, V. Murino: "Intention from Motion". arXiv preprint arXiv:1605.09526 (2016) [PDF]

IfM problem

We present here a dataset for tackling a challenging problem in computer vision community, namely Intention from Motion. The problem of the prediction of human intentions, is defined as the overarching goal embedded in an action sequence. In our work the only exploitable information is conveyed by the kinematics, being the surrounding context totally uninformative. We want to analyse the movement of an apparently unrelated action (actually embedding the intention from the very beginning), the same for all intentions, capturing those subtle motion patterns which are anticipative of different future actions. For a detailed description of the problem and the dataset, please refer to the paper [PDF]

Audio-Video Tracking Dataset

A. Zunino, M. Crocco, S. Martelli, A. Trucco, A. Del Bue, V. Murino
Seeing the Sound: a New Multimodal Imaging device for Computer Vision.
IEEE ICCV 2015 Workshop: 3D Reconstruction and Understanding with Video and Sound

We present here a new dataset for object tracking using both sound and video data. The proposed dataset is composed by 3 different sequences of audio-video data, collected with the DualCam device in both indoor and outdoor scenarios:

  1. Drone Sequence
  2. Voice Sequence
  3. Motorbike Sequence

Structural and Functional Neuronal Networks Dataset

Joint Structural and Functional Analysis of in-vitro Neuronal Networks

S. Ullo, A. Del Bue, A. Maccione, L. Berdondini, and V. Murino: "A Joint Structural and Functional Analysis of In-Vitro Neuronal Networks". ICIP 2012 [ PDF]

We present 6 different image datasets acquired by fluorescence microscopy and depicting hippocampal in-vitro neuronal networks. The datasets are used for the evaluation of our approach for the joint analysis of neuronal anatomy and functionality, involving the use of a high-resolution Multi-Electrode Array (MEA) technology for the acquisition of the functional signal. Results concerning both the neuronal nuclei detection and the structural/functional representation of the neuron/electrode mapping are provided.

RGB-D Person Re-identification Dataset

RGB-D Person Re-identification Dataset

B. I. Barbosa, M. Cristani, A. Del Bue, L. Bazzani, and V. Murino. Re-identification with RGB-D sensors. RE-ID 2012

 

We present a new dataset for person re-identification using depth information. The main motivation is that the standard techniques (such as SDALF) fail when the individuals change their clothing, therefore they cannot be used for long-term video surveillance. Depth information is the solution to deal with this problem because it stays constant for a longer period of time. While several datasets for appearance-based re-identification exist, the literature still misses a dataset that provides also depth. This dataset aims at promoting the RGB-D re-identification research.

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I numeri di IIT

L’Istituto Italiano di Tecnologia (IIT) è una fondazione di diritto privato - cfr. determinazione Corte dei Conti 23/2015 “IIT è una fondazione da inquadrare fra gli organismi di diritto pubblico con la scelta di un modello di organizzazione di diritto privato per rispondere all’esigenza di assicurare procedure più snelle nella selezione non solo nell’ambito nazionale dei collaboratori, scienziati e ricercatori ”.

IIT è sotto la vigilanza del Ministero dell'Istruzione, dell'Università e della Ricerca e del Ministero dell'Economia e delle Finanze ed è stato istituito con la Legge 326/2003. La Fondazione ha l'obiettivo di promuovere l'eccellenza nella ricerca di base e in quella applicata e di favorire lo sviluppo del sistema economico nazionale. La costruzione dei laboratori iniziata nel 2006 si è conclusa nel 2009.

Lo staff complessivo di IIT conta circa 1440 persone. L’area scientifica è rappresentata da circa l’85% del personale. Il 45% dei ricercatori proviene dall’estero: di questi, il 29% è costituito da stranieri provenienti da oltre 50 Paesi e il 16% da italiani rientrati. Oggi il personale scientifico è composto da circa 60 principal investigators, circa 110 ricercatori e tecnologi di staff, circa 350 post doc, circa 500 studenti di dottorato e borsisti, circa 130 tecnici. Oltre 330 posti su 1400 creati su fondi esterni. Età media 34 anni. 41% donne / 59 % uomini.

Nel 2015 IIT ha ricevuto finanziamenti pubblici per circa 96 milioni di euro (80% del budget), conseguendo fondi esterni per 22 milioni di euro (20% budget) provenienti da 18 progetti europei17 finanziamenti da istituzioni nazionali e internazionali, circa 60 progetti industriali

La produzione di IIT ad oggi vanta circa 6990 pubblicazioni, oltre 130 finanziamenti Europei e 11 ERC, più di 350 domande di brevetto attive, oltre 12 start up costituite e altrettante in fase di lancio. Dal 2009 l’attività scientifica è stata ulteriormente rafforzata con la creazione di dieci centri di ricerca nel territorio nazionale (a Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) e internazionale (MIT ed Harvard negli USA) che, unitamente al Laboratorio Centrale di Genova, sviluppano i programmi di ricerca del piano scientifico 2015-2017.

IIT: the numbers

Istituto Italiano di Tecnologia (IIT) is a public research institute that adopts the organizational model of a private law foundation. IIT is overseen by Ministero dell'Istruzione, dell'Università e della Ricerca and Ministero dell'Economia e delle Finanze (the Italian Ministries of Education, Economy and Finance).  The Institute was set up according to Italian law 326/2003 with the objective of promoting excellence in basic and applied research andfostering Italy’s economic development. Construction of the Laboratories started in 2006 and finished in 2009.

IIT has an overall staff of about 1,440 people. The scientific staff covers about 85% of the total. Out of 45% of researchers coming from abroad 29% are foreigners coming from more than 50 countries and 16% are returned Italians. The scientific staff currently consists of approximately 60 Principal Investigators110 researchers and technologists350 post-docs and 500 PhD students and grant holders and 130 technicians. External funding has allowed the creation of more than 330 positions . The average age is 34 and the gender balance proportion  is 41% female against 59% male.

In 2015 IIT received 96 million euros in public funding (accounting for 80% of its budget) and obtained 22 million euros in external funding (accounting for 20% of its budget). External funding comes from 18 European Projects, other 17 national and international competitive projects and approximately 60 industrial projects.

So far IIT accounts for: about 6990 publications, more than 130 European grants and 11 ERC grants, more than 350 patents or patent applications12 up start-ups and as many  which are about to be launched. The Institute’s scientific activity has been further strengthened since 2009 with the establishment of 11 research nodes throughout Italy (Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) and abroad (MIT and Harvard University, USA), which, along with the Genoa-based Central Lab, implement the research programs included in the 2015-2017 Strategic Plan.