@inproceedings{c57fa2f21c9c44c0aa6ea5c86748aa84,
title = "Multi-view based estimation of human upper-body orientation",
abstract = "The knowledge about the body orientation of humans can improve speed and performance of many service components of a smart-room. Since many of such components run in parallel, an estimator to acquire this knowledge needs a very low computational complexity. In this paper we address these two points with a fast and efficient algorithm using the smart-room's multiple camera output. The estimation is based on silhouette information only and is performed for each camera view separately. The single view results are fused within a Bayesian filter framework. We evaluate our system on a subset of videos from the CLEAR 2007 dataset [1] and achieve an average correct classification rate of 87.8 %, while the estimation itself just takes 12 ms when four cameras are used.",
keywords = "Bag-of-features, Body-orientation, Multi-view fusion",
author = "Lukas Rybok and Michael Voit and Ekenel, {Hazim Kemal} and Rainer Stiefelhagen",
year = "2010",
doi = "10.1109/ICPR.2010.385",
language = "English (US)",
isbn = "9780769541099",
series = "Proceedings - International Conference on Pattern Recognition",
pages = "1558--1561",
booktitle = "Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010",
note = "2010 20th International Conference on Pattern Recognition, ICPR 2010 ; Conference date: 23-08-2010 Through 26-08-2010",
}