@inproceedings{34ebb3a5ec9945edb657ad3bcf6e8d00,
title = "Event detection in a smart home environment using viterbi filtering and graph cuts in a 3D voxel occupancy grid",
abstract = "In this paper we present a system for detecting unusual events in smart home environments. A primary appli-cation of this is to prolong independent living for elderly people at their homes. We show how to effectively combine information from multiple heterogeneous sensors which are typically present in a smart home scenario. Data fusion is done in a 3D voxel occupancy grid. Graph Cuts are used to accurately reconstruct people in the scene. Additionally we present a joint multi object Viterbi tracking framework, which allows tracking of all people, and simultaneously detecting critical events such as fallen persons.",
keywords = "Event detection, Graph cuts, Smart home, Viterbi tracking, Voxel occupancy grid",
author = "Martin Hofmann and Moritz Kaiser and Nico Lehment and Gerhard Rigoll",
year = "2011",
language = "English",
isbn = "9789898425478",
series = "VISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application",
pages = "242--247",
booktitle = "VISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application",
note = "International Conference on Computer Vision Theory and Application, VISAPP 2011 ; Conference date: 05-03-2011 Through 07-03-2011",
}