Autonomous Systems Perception
| Title | Αντίληψη αυτόνομων συστημάτων / Autonomous Systems Perception |
| Code | DMCI203 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Spring |
| Coordinator | Ioannis Pitas |
| Common | No |
| Status | Active |
| Course ID | 600016147 |
Programme of Study: PMS PSĪFIAKA MESA - YPOLOGISTIKĪ NOĪMOSYNĪ (2018 eōs sīmera) MF
Registered students: 3
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the selected specialization | 2 | 1 | 7.5 |
Programme of Study: PMS PSĪFIAKA MESA - YPOLOGISTIKĪ NOĪMOSYNĪ (2018 éōs sīmera) PF
Registered students: 9
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the selected specialization | 2 | 1 | 7.5 |
| Academic Year | 2019 – 2020 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600153681
|
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600153681
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=12763
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
Required Courses
- NCO-05-01 SIGNALS AND SYSTEMS
- NDM-07-01 DIGITAL IMAGE PROCESSING
- NDM-07-04 COMPUTER GRAPHICS
General Prerequisites
Basic knowledge in digital image processing. Programming skills. Good level of English.
Learning Outcomes
a) Course objectives /outcomes and competences: Familiarization with the fundamental principles, theory algorithms and technology of digital and analog video, video digitization, digital TV, video processing, analysis, compression/storage and retrieval. Exposure to digital video processing programming using C/C++, MATLAB or Python. Acquaintance with digital video processing and studio systems and their application in areas such as social media, video communication, videoconferencing, broadcasting, webcasting etc.
b) Skills: Setting the foundations for advanced studies on digital video processing issues and applications in social media, video communication, videoconferencing, broadcasting, webcasting. Acquisition of skills in the use and development of digital video processing algorithms. Promoting analytical and programming skills. Ability to develop basic digital video processing applications using C/C++, MATLAB, Python, Adobe Premier, Avid.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Work autonomously
- Work in teams
- Generate new research ideas
Course Content (Syllabus)
Autonomous and intelligent systems. Visual and other sensors. Video basics, formats and digitization. Video processing. Motion estimation. Object tracking. Object detection. Object pose estimation. Simultaneous Localization And Mapping (SLAM). Face/person detection. Facial expression recognition. Activity recognition. Video streaming and compression. Video description. Video indexing and retrieval.
Educational Material Types
- Interactive excersises
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 105 | ✓ | |||
| Reading Assigment | 6 | ✓ | |||
| Written assigments | 24 | ✓ | |||
| Exams | 15 | ✓ | |||
| Total | 150 |
Student Assessment
Description
Written exams. Literature survey or programming assignments or proodos or oral presentations provide an additional 2-4 points, if the exam mark is at least 4.
Student Assessment methods
- Written Exam with Short Answer Questions (Formative)
- Written Assignment (Summative)
- Oral Exams (Summative)
Bibliography
Course Bibliography (Eudoxus)
α. Προτεινόμενη βιβλιογραφία & υλικό
Πήτας Ι. «Ψηφιακή Επεξεργασία Βίντεο-Ψηφιακή Τηλεόραση», Θεσσαλονίκη, 2010.
β. Επιπρόσθετη βιβλιογραφία
M. Tekalp, "Digital Video Processing", Prentice Hall PTR, 1996.
Yao Wang, Jorn Ostermann, and Ya-Qin Zhang, "Video Processing and Communications", Prentice Hall, 2001.
Additional bibliography for study
a) Recommended bibliography & material
Πήτας Ι. «Ψηφιακή Επεξεργασία Βίντεο-Ψηφιακή Τηλεόραση», Θεσσαλονίκη, 2010.
b) Additional bibliography
M. Tekalp, "Digital Video Processing", Prentice Hall PTR, 1996.
Yao Wang, Jorn Ostermann, and Ya-Qin Zhang, "Video Processing and Communications", Prentice Hall, 2001.
Last Update
10-03-2020
