The course aims to enable students to
◦ learn the repeatable methods of image and video processing used in scientific research
Learning outcomes, competences: the student
Knowledge:
- is familiar with the most important open-source image and video processing tools
Ability:
- is able to process images and video on his/her own
- is able to process images and video in a repeatable and well documented way
- is able to plan an effective way to collect analysable data
Attitude:
- works in an environmentally aware way, favouring electronic storage and management methods, and develops independent learning skills
- strive to develop problem-solving skills
Autonomy and responsibility:
- has the necessary autonomy to prepare the data analysis phase of research projects.
Course content, topics
- Image processing automatisation with command line tools:
- ImageMagick,
- VLC,
- Mplayer,
- ImageJ,
- ffmpeg
- Video analysis tools:
- Mwrap,
- Tractor,
- Boris,
- idTracker
- Python OpenCV
Evaluation
◦ To receive a grade, attendance in class and submission of homework assignments by the deadline in moodle is required.
◦ Practical exams.
- Oktató: Dr. Bán Miklós
