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 preliminary meeting for this course will be held on the 23rd of March 2022 from 10:00 - 12:00 in the Seminarraum FAV 01 B (Seminarraum 187/2) seminar room. The lecture will be held on the following wednesdays from April to June: 27.04., 04.05., 11.05., 18.05., 25.05., 01.06. (Possible replacement dates 08.06 und 15.06). Each block will take place in the Seminarraum FAV 01 B (Seminarraum 187/2) seminar room.
The first exam date is planned for the 28th of June 2022 from 09:00-11:00 in room FAV Hörsaal 1 - INF. Please take note of the important information on the exam given on the slides in the TUWEL course.
This course and the corresponding exams are planned as in-person sessions. If the circumstances make that impossible, parts of the course will be held in a distance-learning format. If that should be the case, you will be informed in advance!
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 is only offered every other semester; thus, the next course will be offered in the summer term 2024.
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 course requires basic knowledge in image and video processing, as taught in related courses of the Bachelor programme Media Informatics and Visual Computing and the Master programme Media and Human-Centered Computing.
