| 1. | Course Title | Biometrics and Video Surveillance | |||||||||||
| 2. | Code | 4ФЕИТ05006 | |||||||||||
| 3. | Study program | 10-DPSM, 21-PNMI | |||||||||||
| 4. | Organizer of the study program (unit, institute, department) | Faculty of Electrical Engineering and Information Technologies | |||||||||||
| 5. | Degree (first, second, third cycle) | Second cycle | |||||||||||
| 6. | Academic year/semester | I/1 | 7. | Number of ECTS credits | 6.00 | ||||||||
| 8. | Lecturer | Dr Dimitar Tashkovski | |||||||||||
| 9. | Course Prerequisites | ||||||||||||
| 10. | Course Goals (acquired competencies):
By successfully completing the course, student will be able to: еxplain the concepts of biometric and video surveillance models shown in the course, to assess the suitability of certain models for a given scenario, to use the biometric components of a given system and the video for achieving a certain security objective, to assess the potential constraints of elements in a given system, to design biometric and video solutions for a given application scenario, to be able to express the results of the research in a clear and precise way. |
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| 11. | Course Syllabus:
Introduction to biometrics. Biometric systems based on fingerprint recognition. Biometric systems based on iris recognition. Face identi cation and localization in images. Retina recognition methods. Human identification based on gait. Fusion in biometrics (multibiometrics). New trends in biometrics. Video surveillance – introduction. Video acquisition systems and video quality improvement. Motion detection techniques and object tracking. Recognition humans and their activities in video. Intelligent surveillance techniques. |
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| 12. | Learning methods:
Lectures, supported by presentations and visualization of concepts, active participation of students, homework and project assignments |
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| 13. | Total number of course hours | 180 | |||||||||||
| 14. | Distribution of course hours | 3 + 3 | |||||||||||
| 15. | Forms of teaching | 15.1 | Lectures-theoretical teaching | 45 hours | |||||||||
| 15.2 | Exercises (laboratory, practice classes), seminars, teamwork | 45 hours | |||||||||||
| 16. | Other course activities | 16.1 | Projects, seminar papers | 30 hours | |||||||||
| 16.2 | Individual tasks | 30 hours | |||||||||||
| 16.3 | Homework and self-learning | 30 hours | |||||||||||
| 17. | Grading | ||||||||||||
| 17.1 | Exams | 0 points | |||||||||||
| 17.2 | Seminar work/project (presentation: written and oral) | 50 points | |||||||||||
| 17.3. | Activity and participation | points | |||||||||||
| 17.4. | Final exam | 50 points | |||||||||||
| 18. | Grading criteria (points) | up to 50 points | 5 (five) (F) | ||||||||||
| from 51 to 60 points | 6 (six) (E) | ||||||||||||
| from 61 to 70 points | 7 (seven) (D) | ||||||||||||
| from 71 to 80 points | 8 (eight) (C) | ||||||||||||
| from 81 to 90 points | 9 (nine) (B) | ||||||||||||
| from 91 to 100 points | 10 (ten) (A) | ||||||||||||
| 19. | Conditions for acquiring teacher’s signature and for taking final exam | Regular attendance at classes | |||||||||||
| 20. | Forms of assessment | Project assignment and final exam. | |||||||||||
| 21. | Language | Macedonian and English | |||||||||||
| 22. | Method of monitoring of teaching quality | Internal evaluation and surveys. | |||||||||||
| 23. | Literature | ||||||||||||
| 23.1. | Required Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | John D. Woodward Jr., et al | Biometrics | McGrow-Hill Osborne Media | 2002 | |||||||||
| 2. | A. K. Jain, P. Flynn, A. Ross, | Handbook of Biometrics | Springer, | 2007 | |||||||||
