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Signal Processing Technologies for Ambient Intelligence in Home-Care Applications

  1. 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...

    Authors: Jwu-Sheng Hu and Tzung-Min Su
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:082931
  2. 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 ...

    Authors: Datong Chen, Yi Chang, Rong Yan and Jie Yang
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:075427
  3. 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 ...

    Authors: Amit Sethi, Mandar Rahurkar and Thomas S. Huang
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:074243
  4. 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...

    Authors: Ivano Barbieri, Paolo Lambruschini, Marco Raggio and Riccardo Stagnaro
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:067818
  5. 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...

    Authors: David J. Hewson, Jacques Duchêne, François Charpillet, Jamal Saboune, Valérie Michel-Pellegrino, Hassan Amoud, Michel Doussot, Jean Paysant, Anne Boyer and Jean-Yves Hogrel
    Citation: EURASIP Journal on Advances in Signal Processing 2007 2007:027421
  6. 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...

    Authors: Naresh P Cuntoor and Rama Chellappa
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2007:065989