188.469 Visual Analysis of Human Motion
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, UE, 1.0h, 1.5EC
TUWEL

Properties

  • Semester hours: 1.0
  • Credits: 1.5
  • Type: UE Exercise

Learning outcomes

After successful completion of the course, students are able to apply selected aspects of the methods discussed in the corresponding lecture in their implementation and to test them in a practical application. They can critically evaluate their results and prepare them for a presentation.

 

 

Subject of course

In the exercise, students can choose between two main topics, namely (1) literature review and (2) implementation. The first option is similar to writing a seminar paper where students have to work on an agreed topic and present it at the end of the semester. With the second option students have to implement selected algorithms for the analysis of human motion and present the obtaioned results at the end of the semester.

 

 

Teaching methods

Information regarding the exercises will be made available via TUWEL. The submission of the results as well as the registration for the final evaluation talks will be carried out via TUWEL as well. The achieved results will be presented at a final event.

 

Mode of examination

Written and oral

Additional information

The preliminary meeting takes place on March 11th, 2020, from 10-12 a.m. at Seminar Room FAV 01 C (Favoritenstraße 9-11, 1st floor, staircase 4).

Please note that this course will be offered every other semester; thus, the next course will be offered in the summer term 2022.

Lecturers

Institute

Examination modalities

Students are graded based on the quality of their submitted exercises, an accompanying oral discussion, and the official group presentations at the end of the semester.

 

Course registration

Begin End Deregistration end
29.01.2020 00:00 06.03.2020 23:59 06.03.2020 23:59

Curricula

Literature

The course material will be provided for download via TUWEL.

Previous knowledge

The lab exercise requires basic knowledge of image processing techniques.

Accompanying courses

Language

if required in English