After successful completion of the course, students are able to identify key techniques for visual analysis and vlsualization of human pose and motion by using images and videos, to describes their characteristics, and to judge their applicability to a given application.

The course makes students acquainted with various 2D and 3D techniques for the analysis and visualization of human motion using images and videos. This inludes topics such as motion tracking, human body models, human pose estimation, and the usage of eye-tracking techniques. A special focus is on video analysis for sports applications and selected aspects of human-robot communication.

The lecture slides will be provided on TUWEL and are supplemented by suitable video material, demos, and weblinks, in order to illustrate the lecture content and current research questions

The lecture will be held on the following wednesdays from April to June: April 29th, May 6th, May 13th, May 20th, June 3rd, June 10th. Each block will take place as an online meeting via TUWEL/Zoom. Exams are on June 24th 2020 and July 1st 2020 and will take place as online oral exams via Zoom. Please notice the important information on the exam given on the slides in the TUWEL course.

This course represents 1.5 ECTS (= 38 hours). An estimate of 14 hours of these will be used for the actual lecture and the remaining 24 hours for exam preparation.

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

Via the written exam, the understanding of the methods and algorithms discussed in the course is assessed by means of textual descriptions, formulas, sketches, pseudocode, etc.

The lecture slides and additional material will be provided via TUWEL for download.

The course requires basic knowledge in image and video processing, as taught in related courses of the Bachelor programme Media Informatics and the Master programmes Media Informatics and Visual Computing.