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.