392287 ISY Project: Deep Learning based Human Motion Prediction (Pj) (SoSe 2023)
Contents, comment
-
Human Motion Prediction (HPM) aims to predict future human pose sequences given previous motion sequences.It has applications such as Autonomous Driving to predict pedestrians’behavior, and Human Robot Collaborations to allow the robot better to understand human intentions. In this project, you will implement an existing deep learning algorithm (e.g. Multi-layer Perceptron, Variational Autoencoder, Transformer, GAN) and evaluate its performances of motion prediction.
This topic is provided as an individual project (aka second project) since the task is separate. But multiple students can work on this topic with different assignments. However, this doesn't make it a team project.
Requirements for participation, required level
-
Required skills:
- Basic knowledge in machine learning and image processing.
- Python programming skills.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | weiteres Projekt | Ungraded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
- Address:
- SS2023_392287@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_404075217@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Thursday, February 9, 2023
- Last update times:
- Thursday, February 9, 2023
- Last update rooms:
- Thursday, February 9, 2023
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=404075217
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 404075217