This title appears in the Scientific Report :
2016
Please use the identifier:
http://dx.doi.org/10.1109/VR.2015.7223353 in citations.
Vision-based multi-person foot tracking for CAVE systems with under-floor projection
Vision-based multi-person foot tracking for CAVE systems with under-floor projection
In this work, we present an approach for tracking the feet of multiple users in CAVE-like systems with under-floor projection. It is based on low-cost consumer cameras, does not require users to wear additional equipment, and can be installed without modifying existing components. If the brightness...
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Personal Name(s): | Freitag, Sebastian (Corresponding author) |
---|---|
Schmitz, Sebastian / Kuhlen, Torsten | |
Contributing Institute: |
Jülich Supercomputing Center; JSC JARA - HPC; JARA-HPC |
Published in: |
ISBN 978-1-4799-1727-3 |
Imprint: |
IEEE
2015
|
Physical Description: |
177-178 |
DOI: |
10.1109/VR.2015.7223353 |
Conference: | 2015 IEEE Virtual Reality (VR), Arles (Camargue), 3/23/2015 - 3/27/2015 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Computational Science and Mathematical Methods |
Publikationsportal JuSER |
In this work, we present an approach for tracking the feet of multiple users in CAVE-like systems with under-floor projection. It is based on low-cost consumer cameras, does not require users to wear additional equipment, and can be installed without modifying existing components. If the brightness of the floor projection does not contain too much variation, the feet of several people can be reliably tracked and assigned to individuals. |