Title
Vision-based multi-person foot tracking for CAVE systems with under-floor projection
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.
Year
DOI
Venue
2015
10.1109/VR.2015.7223353
2015 IEEE Virtual Reality (VR)
Keywords
Field
DocType
K.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems — Artificial,augmented and virtual realities,I.4.8 [Image Processing and Computer Vision]: Scene Analysis — Shape,Tracking
Computer vision,Cave,Virtual reality,Computer graphics (images),Simulation,Computer science,Vision based,Artificial intelligence,Brightness
Conference
ISSN
Citations 
PageRank 
1087-8270
0
0.34
References 
Authors
4
3
Name
Order
Citations
PageRank
Sebastian Freitag1495.29
Sebastian Schmitz200.34
Torsten Kuhlen344469.40