Contribution to a conference proceedings/Contribution to a book

FZJ-2017-00186

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Vision-based multi-person foot tracking for CAVE systems with under-floor projection

Freitag, S. (Corresponding author) ; Schmitz, S.Extern* ; Kuhlen, T.

2015
IEEE

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Please use a persistent id in citations: doi:10.1109/VR.2015.7223353

Abstract: 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.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)
2. JARA - HPC (JARA-HPC)

Research Program(s):

1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2016

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