Fall detection from human shape and motion history using video surveillance

  • Rougier C
  • Meunier J
  • St-Arnaud A
 et al. 
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Nowadays, Western countries have to face the growing population of seniors. New technologies can help people stay at home by providing a secure environment and improving their quality of life. The use of computer vision systems offers a new promising solution to analyze people behavior and detect some unusual events. In this paper, we propose a new method to detect falls, which are one of the greatest risk for seniors living alone. Our approach is based on a combination of motion history and human shape variation. Our algorithm provides promising results on video sequences of daily activities and simulated falls. 2007 IEEE.

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  • Health care Algorithms Computer simulation Image s

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  • Caroline Rougier

  • Jean Meunier

  • Alain St-Arnaud

  • Jacqueline Rousseau

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