Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S2)

Sylabus przedmiotu Computer Vision for Video Surveillance:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom drugiego 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

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
laboratoriaL1 15 2,00,75zaliczenie
wykładyW1 15 1,00,25zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Elementary digital image processing
W-2Elementary numerical recipes
W-3Elementary programming skills
W-4Elementary matrix algebra

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The main objective of the course is to familiarize students with the range of possibilities and principles of the modern intelligent monitoring systems.
C-2Students 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

KODTreść programowaGodziny
laboratoria
T-L-1Introduction to laboratory classes.1
T-L-2Video surveillance at the Faculty and on the campus. The ALPR system. Image acquisition from cameras.2
T-L-3Performance verification of available (ready to use, implemented) algorithms for video surveillance, e.g.: background modelling, object detection, object recognition, object tracking4
T-L-4Implementation of selected algorithms for video surveillance, e.g.: background modelling, object detection, object recognition, object tracking.4
T-L-5Development 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-1Introduction 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-2Thermal imaging for video observation.1
T-W-3Intelligent Transport Systems (ITS): ALPR, WIM, HIM, red-light, others. Measuring traffic congestion. Intelligent parking.2
T-W-4Background modeling methods.2
T-W-5Autoamtic detection and recognition of objects in video surveilance systems.3
T-W-6Tracking algorithms.1
T-W-7Example 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

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in classes.15
A-L-2Preparation for the classes.7
A-L-3Participation in the consultations for laboratories.4
A-L-4Preparation of reports for selected laboratories.8
A-L-5Design and implementation of own video surveillance system.19
A-L-6Preparation of the final report.7
60
wykłady
A-W-1Presence at lectures.15
A-W-2Literature reading.15
30

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lectures: informative, problem solving, conversational
M-2Laboratory classes with a computer
M-3Problems discution at laboratory classes
M-4Discussion of the individual project, brainstorm

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Assessment of the project created during practical exercises and discussion of the final repot.
S-2Ocena formująca: Presentation and defense of the project in front of a group of students.
S-3Ocena formująca: Progress monitoring in implementation of own video surveillance system.
S-4Ocena formująca: Verification of reports from selected laboratories.

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WI_2-_null_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-2, C-1T-W-5, T-W-2, T-W-4, T-W-1, T-W-7, T-W-6, T-W-3M-1, M-2S-1, S-4

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WI_2-_null_U01
Students are prepared to design intelligent surveillance system performing the tasks of automatic processing, analysis and recognition of digital images.
C-2, C-1T-L-2, T-L-5, T-L-3, T-L-1, T-L-4M-2, M-3S-4, S-3

Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WI_2-_null_K01
The student is aware of the role of video surveillance systems for the society.
C-1, C-2T-L-5M-4, M-3S-1, S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WI_2-_null_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
3,0Student submits at least 50% of reports
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WI_2-_null_U01
Students are prepared to design intelligent surveillance system performing the tasks of automatic processing, analysis and recognition of digital images.
2,0
3,0Student submits at least 50% of reports
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WI_2-_null_K01
The student is aware of the role of video surveillance systems for the society.
2,0
3,0Student 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

  1. H. Kruegle, CCTV Surveillance, Second Edition: Video Practices and Technology, Butterworth-Heinemann, 2006, 672 p.
  2. R. Gonzalez, R. Woods, S. L. Eddins, Digital Image Processing Using MATLAB 2nd Ed., Gatesmark Publishing, 2009, 827 p.
  3. Richard Szeliski, Computer Vision: Algorithms and Applications, Springer, London, 2011

Literatura dodatkowa

  1. J. S. Sussman, Perspectives on Intelligent Transportation Systems (ITS), Springer, 2005, 229 p.
  2. W. Lin (Ed.), Video Surveillance, InTech, 2016
  3. H. El-Alfy (Ed.), Recent Developments in Video Surveillance, InTech, 2016

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Introduction to laboratory classes.1
T-L-2Video surveillance at the Faculty and on the campus. The ALPR system. Image acquisition from cameras.2
T-L-3Performance verification of available (ready to use, implemented) algorithms for video surveillance, e.g.: background modelling, object detection, object recognition, object tracking4
T-L-4Implementation of selected algorithms for video surveillance, e.g.: background modelling, object detection, object recognition, object tracking.4
T-L-5Development 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

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Introduction 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-2Thermal imaging for video observation.1
T-W-3Intelligent Transport Systems (ITS): ALPR, WIM, HIM, red-light, others. Measuring traffic congestion. Intelligent parking.2
T-W-4Background modeling methods.2
T-W-5Autoamtic detection and recognition of objects in video surveilance systems.3
T-W-6Tracking algorithms.1
T-W-7Example implementations of intelligent video surveillance systems: vehicle traffic measurement systems, human traffic analysis, people identification based on biometric features, etc.3
15

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in classes.15
A-L-2Preparation for the classes.7
A-L-3Participation in the consultations for laboratories.4
A-L-4Preparation of reports for selected laboratories.8
A-L-5Design and implementation of own video surveillance system.19
A-L-6Preparation of the final report.7
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Presence at lectures.15
A-W-2Literature reading.15
30
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WI_2-_null_W01Students are familiarized with the computer vision methods applicable to video surveillance. Students are acquainted with principles of the modern intelligent monitoring systems.
Cel przedmiotuC-2Students will be prepared to design intelligent surveillance system performing the tasks of automatic processing, analysis and recognition of digital images.
C-1The main objective of the course is to familiarize students with the range of possibilities and principles of the modern intelligent monitoring systems.
Treści programoweT-W-5Autoamtic detection and recognition of objects in video surveilance systems.
T-W-2Thermal imaging for video observation.
T-W-4Background modeling methods.
T-W-1Introduction 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.
T-W-7Example implementations of intelligent video surveillance systems: vehicle traffic measurement systems, human traffic analysis, people identification based on biometric features, etc.
T-W-6Tracking algorithms.
T-W-3Intelligent Transport Systems (ITS): ALPR, WIM, HIM, red-light, others. Measuring traffic congestion. Intelligent parking.
Metody nauczaniaM-1Lectures: informative, problem solving, conversational
M-2Laboratory classes with a computer
Sposób ocenyS-1Ocena podsumowująca: Assessment of the project created during practical exercises and discussion of the final repot.
S-4Ocena formująca: Verification of reports from selected laboratories.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student submits at least 50% of reports
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WI_2-_null_U01Students are prepared to design intelligent surveillance system performing the tasks of automatic processing, analysis and recognition of digital images.
Cel przedmiotuC-2Students will be prepared to design intelligent surveillance system performing the tasks of automatic processing, analysis and recognition of digital images.
C-1The main objective of the course is to familiarize students with the range of possibilities and principles of the modern intelligent monitoring systems.
Treści programoweT-L-2Video surveillance at the Faculty and on the campus. The ALPR system. Image acquisition from cameras.
T-L-5Development of a concept of simple video surveillance system. Definition of the scope of the project. Design and implementation of own simple video surveillance system.
T-L-3Performance verification of available (ready to use, implemented) algorithms for video surveillance, e.g.: background modelling, object detection, object recognition, object tracking
T-L-1Introduction to laboratory classes.
T-L-4Implementation of selected algorithms for video surveillance, e.g.: background modelling, object detection, object recognition, object tracking.
Metody nauczaniaM-2Laboratory classes with a computer
M-3Problems discution at laboratory classes
Sposób ocenyS-4Ocena formująca: Verification of reports from selected laboratories.
S-3Ocena formująca: Progress monitoring in implementation of own video surveillance system.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student submits at least 50% of reports
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WI_2-_null_K01The student is aware of the role of video surveillance systems for the society.
Cel przedmiotuC-1The main objective of the course is to familiarize students with the range of possibilities and principles of the modern intelligent monitoring systems.
C-2Students will be prepared to design intelligent surveillance system performing the tasks of automatic processing, analysis and recognition of digital images.
Treści programoweT-L-5Development of a concept of simple video surveillance system. Definition of the scope of the project. Design and implementation of own simple video surveillance system.
Metody nauczaniaM-4Discussion of the individual project, brainstorm
M-3Problems discution at laboratory classes
Sposób ocenyS-1Ocena podsumowująca: Assessment of the project created during practical exercises and discussion of the final repot.
S-2Ocena formująca: Presentation and defense of the project in front of a group of students.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student 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