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EVENT DETECTION IN A SMART HOME ENVIRONMENT USING VITERBI FILTERING AND GRAPH CUTS IN A 3D VOXEL OCCUPANCY GRID

Topics: 2D and 3D Scene Understanding; Graph Theory in Image Processing and Vision; Human Activity Recognition; Localization and Recognition of 3D Object Features; Motion and Tracking; Object, Event and Scene Recognition, Retrieval and Indexing; Recognizing 3-D Object Shapes from Range Data; Retrieval of 3D Objects from Video Sequences; Tracking of People and Surveillance

Authors: Martin Hofmann ; Moritz Kaiser ; Nico Lehment and Gerhard Rigoll

Affiliation: Technische Universität München, Germany

Keyword(s): Event detection, Smart home, Voxel occupancy grid, Graph cuts, Viterbi tracking.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Retrieval of 3D Objects from Video Sequences ; Tracking of People and Surveillance

Abstract: In this paper we present a system for detecting unusual events in smart home environments. A primary application 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.

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Paper citation in several formats:
Hofmann, M.; Kaiser, M.; Lehment, N. and Rigoll, G. (2011). EVENT DETECTION IN A SMART HOME ENVIRONMENT USING VITERBI FILTERING AND GRAPH CUTS IN A 3D VOXEL OCCUPANCY GRID. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP; ISBN 978-989-8425-47-8; ISSN 2184-4321, SciTePress, pages 242-247. DOI: 10.5220/0003315402420247

@conference{visapp11,
author={Martin Hofmann. and Moritz Kaiser. and Nico Lehment. and Gerhard Rigoll.},
title={EVENT DETECTION IN A SMART HOME ENVIRONMENT USING VITERBI FILTERING AND GRAPH CUTS IN A 3D VOXEL OCCUPANCY GRID},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP},
year={2011},
pages={242-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003315402420247},
isbn={978-989-8425-47-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP
TI - EVENT DETECTION IN A SMART HOME ENVIRONMENT USING VITERBI FILTERING AND GRAPH CUTS IN A 3D VOXEL OCCUPANCY GRID
SN - 978-989-8425-47-8
IS - 2184-4321
AU - Hofmann, M.
AU - Kaiser, M.
AU - Lehment, N.
AU - Rigoll, G.
PY - 2011
SP - 242
EP - 247
DO - 10.5220/0003315402420247
PB - SciTePress