| Course Type | Elective Course |
|---|
| Course Level | Doctorate Of Science |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Know the low- and mid-level image processing techniques such as filtering, edge detection, segmentation and clustering.
- Know about the object and scene recognition.
- Know the techniques of motion detection from video data.
- Know about the object and people tracking.
- Comprehend the human activity recognition and inference.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | BIL 566 Digital Image Processing |
|---|
| Course Description | An introduction and basic concepts, low and mid level image processing: filtering, edge detection, segmentation and clustering, object and scene recognition, motion detection from video data, object and people tracking, human activity recognition and inference. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
An introduction and basic concepts |
|
2nd Week |
Low and mid level image processing:filtering |
|
3rd Week |
Low and mid level image processing:filtering |
|
4th Week |
Edge detection |
|
5th Week |
Segmentation and clustering |
|
6th Week |
Object and scene recognition |
|
7th Week |
Object and scene recognition |
|
8th Week |
Mid-term |
|
9th Week |
Motion detection from video data |
|
10th Week |
Motion detection from video data |
|
11th Week |
Object and people tracking |
|
12th Week |
Object and people tracking |
|
13th Week |
Human activity recognition and inference |
|
14th Week |
Human activity recognition and inference |
|
| Recommended or Required Reading | 1. Forsyth, D.A. & Ponce, J., "Computer Vision: A Modern Approach", 2nd edition, Prentice Hall, (2011).
2. Shapiro, L.G. & Stockman, G.C., "Computer Vision", Prentice Hall, (2001).
3. Parker, J.R., "Algorithms for Image Processing and Computer Vision", Wiley, (2010).
|
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Practice
- Problem Solving
- Project
- Report Preparation
- Presentation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Project |
1 |
30 |
| Total(%) |
|
60 |
| Contribution of In-term Studies to Overall Grade(%) |
|
60 |
| Contribution of Final Examination to Overall Grade(%) |
|
40 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
11 |
154 |
| Preparation for Final exam |
1 |
69 |
69 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
44 |
44 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
|
|
|
| Total Work Load | 313 |
| Total Work Load / 30 (h) | 10.43 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
