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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
COMPUTER VISION BİL613 ------- 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITDoctorate Of Science
YEAR OF STUDY-
SEMESTER-------
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)-
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Know the low- and mid-level image processing techniques such as filtering, edge detection, segmentation and clustering.
2) Know about the object and scene recognition.
3) Know the techniques of motion detection from video data.
4) Know about the object and people tracking.
5) Comprehend the human activity recognition and inference.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTBIL 566 Digital Image Processing
COURSE CONTENTS
WEEKTOPICS
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
RECOMENDED OR REQUIRED READING1. 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 METHODSLecture,Questions/Answers,Practice,Problem Solving,Project,Report Preparation,Presentation
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Project130
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

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