Intelligent Video Surveillance for Monitoring Elderly in Home Environments

  title={Intelligent Video Surveillance for Monitoring Elderly in Home Environments},
  author={Arie Hans Nasution and Sabu Emmanuel},
  journal={2007 IEEE 9th Workshop on Multimedia Signal Processing},
In this paper we propose a novel method to detect and record various posture-based events of interest in a typical elderly monitoring application in a home surveillance scenario. These events include standing, sitting, bending/squatting, side lying and lying toward the camera. The projection histograms of segmented human body silhouette are used as the main feature vector for posture classification. k-nearest neighbor (k-NN) algorithm and evidence accumulation technique is proposed to infer… CONTINUE READING
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A Human Body Events Standing BCending Sitting Lying Ling towrd Part Labeling System Using Silhouettes , " 14 th International Conference Standing 355 0 10 0 0 On Pattern Recognition

  • D. Harwood Haritaoglu, L. S. Davis
  • Lyingtoward Posture Classification in a Multi…

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