Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

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

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW2 15 1,00,25zaliczenie
laboratoriaL2 15 2,00,75zaliczenie

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.

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.

Literatura dodatkowa

  1. J. S. Sussman, Perspectives on Intelligent Transportation Systems (ITS), Springer, 2005, 229 p.

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