Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| I sem. | Oct 1, 2014 | Jan 30, 2015 |
| II sem. | Mar 2, 2015 | Jun 12, 2015 |
| Session | From | To |
|---|---|---|
| Sessione straordinaria appelli d'esame | Feb 2, 2015 | Feb 27, 2015 |
| Sessione estiva appelli d'esame | Jun 15, 2015 | Jul 31, 2015 |
| Sessione autunnale appelli d'esame | Sep 1, 2015 | Sep 30, 2015 |
| Session | From | To |
|---|---|---|
| Sessione invernale appello di laurea 2015 | Mar 19, 2015 | Mar 19, 2015 |
| Sessione estiva appello di laurea 2015 | Jul 15, 2015 | Jul 15, 2015 |
| Sessione autunnale appello di laurea 2015 | Oct 21, 2015 | Oct 21, 2015 |
| Sessione invernale appello di laurea 2016 | Mar 17, 2016 | Mar 17, 2016 |
| Period | From | To |
|---|---|---|
| Vacanze di Natale | Dec 22, 2014 | Jan 6, 2015 |
| Vacanze di Pasqua | Apr 2, 2015 | Apr 7, 2015 |
| Ricorrenza del Santo Patrono | May 21, 2015 | May 21, 2015 |
| Vacanze estive | Aug 10, 2015 | Aug 16, 2015 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Advanced recognition systems (2015/2016)
Teaching code
4S02792
Teacher
Coordinatore
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
I semestre dal Oct 1, 2015 al Jan 29, 2016.
Learning outcomes
The course of Advanced Pattern Recognition Systems aims at providing the students with practical software instruments for solving real recognition problems, as those coming from the surveillance/quality-control/automotive/entertainment scenarios. To this sake, the lessons are organized as practical problems, which will be faced by considering theory elements coming from the Pattern Recognition course, and embedding them into MATLAB or C software. It is clear that the Laboratory sessions in this course are fundamental, and will take most of the time.
Program
PROBLEM: Detection and recognition of: people, faces, scenes and objects in general. Associated algorithms and techniques: Generative Learning, Discriminative Learning, Hybrid Learning, Boosting, GIST, SIFT (reminders of), covariances, SURF, SDALF, Bag of Words.
PROBLEM: Modeling of moving objects: tracking of single objects, groups of objects, action recognition, expression recognition. Associated algorithms and techniques: Monte Carlo Methods (Particle Filtering), Online Learning, Spline, Snakes
Examination Methods
Project or Seminar
Teaching materials
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L0 - Introduzione al Corso
(pdf, it, 1043 KB, 04/10/15)
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L1 - Valutazione dei classificatori supervisionati
(zip, it, 5206 KB, 04/10/15)
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L2 - Classificatori discriminativi
(zip, it, 4803 KB, 14/10/15)
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L3 - Riconoscimento oggetti - metodi discriminativi
(zip, it, 25692 KB, 26/10/15)
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L4 - Riconoscimento oggetti - metodi generativi
(zip, it, 12856 KB, 12/11/15)
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L5 - Rilevamento del movimento
(zip, it, 7082 KB, 22/11/15)
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L6 - Descrittori di forma
(zip, it, 6714 KB, 11/01/16)
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Lab1 - Valutazione dei classificatori supervisionati
(zip, it, 400 KB, 04/10/15)
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Lab2 - Classificatori discriminativi
(zip, it, 1924 KB, 22/10/15)
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Lab3 - Riconoscimento di oggetti
(zip, it, 32 KB, 19/11/15)
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Lab4 - Motion Detection
(zip, it, 5 KB, 03/12/15)
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Lab5 - Shape Descriptors
(zip, it, 1877 KB, 14/01/16)
Type D and Type F activities
Modules not yet included
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.
Graduation
List of theses and work experience proposals
Attendance
As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.Please refer to the Crisis Unit's latest updates for the mode of teaching.
