Signal Processing Technologies for Ambient Intelligence in Home-Care Applications
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Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:091730
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Robust Background Subtraction with Shadow and Highlight Removal for Indoor Surveillance
This work describes a robust background subtraction scheme involving shadow and highlight removal for indoor environmental surveillance. Foreground regions can be precisely extracted by the proposed scheme des...
Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:082931 -
Tools for Protecting the Privacy of Specific Individuals in Video
This paper presents a system for protecting the privacy of specific individuals in video recordings. We address the following two problems: automatic people identification with limited labeled data, and human ...
Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:075427 -
Event Detection Using "Variable Module Graphs" for Home Care Applications
Technology has reached new heights making sound and video capture devices ubiquitous and affordable. We propose a paradigm to exploit this technology for home care applications especially for surveillance and ...
Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:074243 -
Real-Time Transmission and Storage of Video, Audio, and Health Data in Emergency and Home Care Situations
The increase in the availability of bandwidth for wireless links, network integration, and the computational power on fixed and mobile platforms at affordable costs allows nowadays for the handling of audio an...
Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:067818 -
The PARAChute Project: Remote Monitoring of Posture and Gait for Fall Prevention
Falls in the elderly are a major public health problem due to both their frequency and their medical and social consequences. In France alone, more than two million people aged over 65 years old fall each year...
Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:027421 -
Mixed-State Models for Nonstationary Multiobject Activities
We present a mixed-state space approach for modeling and segmenting human activities. The discrete-valued component of the mixed state represents higher-level behavior while the continuous state models the dyn...
Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:065989