Corpus ID: 113424571

Video - based fall detection in elderly’s houses

@inproceedings{Alaliyat2008VideoB,
  title={Video - based fall detection in elderly’s houses},
  author={Saleh Alaliyat},
  year={2008}
}
  • Saleh Alaliyat
  • Published 2008
  • Engineering
  • Automatic detection of a falling person based on video analysis is an important problem with application in safety areas including supportive home environments and elderly’s houses. The use of computer vision systems offers a good solution to analyze people behavior and detect unusual events. Compared to classical methods that use sensorsbased solutions, the video-based methods improve the performance with lower costs and give more functionality. In this project we have developed a method to… CONTINUE READING

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    Citations

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    Automatic Monocular System for Human Fall Detection Based on Variations in Silhouette Area

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 47 REFERENCES

    Multiple Moving Objects Tracking under Complex Scenes

    • Qin Wan, Yaonan Wang
    • Computer Science
    • 2006 6th World Congress on Intelligent Control and Automation
    • 2006
    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    A real-time system for monitoring of cyclists and pedestrians

    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL

    A System for Video Surveillance and Monitoring

    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL

    Fall Detection from Human Shape and Motion History Using Video Surveillance

    VIEW 2 EXCERPTS

    Intelligent Video Surveillance for Monitoring Elderly in Home Environments

    VIEW 1 EXCERPT