Intelligent Video Surveillance for Monitoring Elderly in Home Environments

@article{Nasution2007IntelligentVS,
  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},
  year={2007},
  pages={203-206}
}
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
Highly Cited
This paper has 89 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 60 extracted citations

89 Citations

051015'09'11'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 89 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-2 of 2 references

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…

Similar Papers

Loading similar papers…