Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)
Sylabus przedmiotu Computer Vision for Video Surveillance:
Informacje podstawowe
| Kierunek studiów | Wymiana międzynarodowa | ||
|---|---|---|---|
| Forma studiów | studia stacjonarne | Poziom | pierwszego stopnia |
| Tytuł zawodowy absolwenta | |||
| Obszary studiów | — | ||
| Profil | |||
| Moduł | — | ||
| Przedmiot | Computer Vision for Video Surveillance | ||
| Specjalność | przedmiot wspólny | ||
| Jednostka prowadząca | Katedra Systemów Multimedialnych | ||
| Nauczyciel odpowiedzialny | Adam Nowosielski <Adam.Nowosielski@zut.edu.pl> | ||
| Inni nauczyciele | |||
| ECTS (planowane) | 3,0 | ECTS (formy) | 3,0 |
| Forma zaliczenia | zaliczenie | Język | angielski |
| Blok obieralny | — | Grupa obieralna | — |
Formy dydaktyczne
Wymagania wstępne
| KOD | Wymaganie wstępne |
|---|---|
| W-1 | Elementary digital image processing |
| W-2 | Elementary numerical recipes |
| W-3 | Elementary programming skills |
| W-4 | Elementary matrix algebra |
Cele przedmiotu
| KOD | Cel modułu/przedmiotu |
|---|---|
| C-1 | The main objective of the course is to familiarize students with the range of possibilities and principles of the modern intelligent monitoring systems. |
| C-2 | Students will be prepared to design intelligent surveillance system performing the tasks of automatic processing, analysis and recognition of digital images. |
Treści programowe z podziałem na formy zajęć
| KOD | Treść programowa | Godziny |
|---|---|---|
| laboratoria | ||
| T-L-1 | Introduction to laboratory classes. | 1 |
| T-L-2 | Video surveillance at the Faculty and on the campus. The ALPR system. Image acquisition from cameras. | 2 |
| T-L-3 | Performance verification of available (ready to use, implemented) algorithms for video surveillance, e.g.: background modelling, object detection, object recognition, object tracking | 4 |
| T-L-4 | Implementation of selected algorithms for video surveillance, e.g.: background modelling, object detection, object recognition, object tracking. | 4 |
| T-L-5 | Development of a concept of simple video surveillance system. Definition of the scope of the project. Design and implementation of own simple video surveillance system. | 4 |
| 15 | ||
| wykłady | ||
| T-W-1 | Introduction to video surveillance systems. Selected issues and classification of monitoring systems. Legal regulations. Systems of video-observation. Hardware in video monitoring systems. Intelligent Building. Intelligent cameras. Mobile wireless platforms. Access control controllers. | 3 |
| T-W-2 | Thermal imaging for video observation. | 1 |
| T-W-3 | Intelligent Transport Systems (ITS): ALPR, WIM, HIM, red-light, others. Measuring traffic congestion. Intelligent parking. | 2 |
| T-W-4 | Background modeling methods. | 2 |
| T-W-5 | Autoamtic detection and recognition of objects in video surveilance systems. | 3 |
| T-W-6 | Tracking algorithms. | 1 |
| T-W-7 | Example implementations of intelligent video surveillance systems: vehicle traffic measurement systems, human traffic analysis, people identification based on biometric features, etc. | 3 |
| 15 | ||
Obciążenie pracą studenta - formy aktywności
| KOD | Forma aktywności | Godziny |
|---|---|---|
| laboratoria | ||
| A-L-1 | Participation in classes. | 15 |
| A-L-2 | Preparation for the classes. | 7 |
| A-L-3 | Participation in the consultations for laboratories. | 4 |
| A-L-4 | Preparation of reports for selected laboratories. | 8 |
| A-L-5 | Design and implementation of own video surveillance system. | 19 |
| A-L-6 | Preparation of the final report. | 7 |
| 60 | ||
| wykłady | ||
| A-W-1 | Presence at lectures. | 15 |
| A-W-2 | Literature reading. | 15 |
| 30 | ||
Metody nauczania / narzędzia dydaktyczne
| KOD | Metoda nauczania / narzędzie dydaktyczne |
|---|---|
| M-1 | Lectures: informative, problem solving, conversational |
| M-2 | Laboratory classes with a computer |
| M-3 | Problems discution at laboratory classes |
| M-4 | Discussion of the individual project, brainstorm |
Sposoby oceny
| KOD | Sposób oceny |
|---|---|
| S-1 | Ocena podsumowująca: Assessment of the project created during practical exercises and discussion of the final repot. |
| S-2 | Ocena formująca: Presentation and defense of the project in front of a group of students. |
| S-3 | Ocena formująca: Progress monitoring in implementation of own video surveillance system. |
| S-4 | Ocena formująca: Verification of reports from selected laboratories. |
Zamierzone efekty uczenia się - wiedza
| Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
|---|---|---|---|---|---|---|
| WM-WI_1-_??_W01 Students are familiarized with the computer vision methods applicable to video surveillance. Students are acquainted with principles of the modern intelligent monitoring systems. | — | — | C-1, C-2 | T-W-4, T-W-6, T-W-1, T-W-5, T-W-3, T-W-2, T-W-7 | M-1, M-2 | S-4, S-1 |
Zamierzone efekty uczenia się - umiejętności
| Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
|---|---|---|---|---|---|---|
| WM-WI_1-_??_U01 Students are prepared to design intelligent surveillance system performing the tasks of automatic processing, analysis and recognition of digital images. | — | — | C-2, C-1 | T-L-1, T-L-5, T-L-3, T-L-2, T-L-4 | M-2, M-3 | S-4, S-3 |
Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne
| Zamierzone efekty uczenia się | Odniesienie do efektów kształcenia dla kierunku studiów | Odniesienie do efektów zdefiniowanych dla obszaru kształcenia | Cel przedmiotu | Treści programowe | Metody nauczania | Sposób oceny |
|---|---|---|---|---|---|---|
| WM-WI_1-_??_K01 The student is aware of the role of video surveillance systems for the society. | — | — | C-2, C-1 | T-L-5 | M-3, M-4 | S-1, S-2 |
Kryterium oceny - wiedza
| Efekt uczenia się | Ocena | Kryterium oceny |
|---|---|---|
| WM-WI_1-_??_W01 Students are familiarized with the computer vision methods applicable to video surveillance. Students are acquainted with principles of the modern intelligent monitoring systems. | 2,0 | |
| 3,0 | Student submits at least 50% of reports | |
| 3,5 | ||
| 4,0 | ||
| 4,5 | ||
| 5,0 |
Kryterium oceny - umiejętności
| Efekt uczenia się | Ocena | Kryterium oceny |
|---|---|---|
| WM-WI_1-_??_U01 Students are prepared to design intelligent surveillance system performing the tasks of automatic processing, analysis and recognition of digital images. | 2,0 | |
| 3,0 | Student submits at least 50% of reports | |
| 3,5 | ||
| 4,0 | ||
| 4,5 | ||
| 5,0 |
Kryterium oceny - inne kompetencje społeczne i personalne
| Efekt uczenia się | Ocena | Kryterium oceny |
|---|---|---|
| WM-WI_1-_??_K01 The student is aware of the role of video surveillance systems for the society. | 2,0 | |
| 3,0 | Student is active at problem solving classes. Student presents the operation of the developed system in the group forum. | |
| 3,5 | ||
| 4,0 | ||
| 4,5 | ||
| 5,0 |
Literatura podstawowa
- H. Kruegle, CCTV Surveillance, Second Edition: Video Practices and Technology, Butterworth-Heinemann, 2006, 672 p.
- R. Gonzalez, R. Woods, S. L. Eddins, Digital Image Processing Using MATLAB 2nd Ed., Gatesmark Publishing, 2009, 827 p.
- Richard Szeliski, Computer Vision: Algorithms and Applications, Springer, London, 2011
Literatura dodatkowa
- J. S. Sussman, Perspectives on Intelligent Transportation Systems (ITS), Springer, 2005, 229 p.
- W. Lin (Ed.), Video Surveillance, InTech, 2016
- H. El-Alfy (Ed.), Recent Developments in Video Surveillance, InTech, 2016