Detecting Individual Activities from Video in a Smart Home

@inproceedings{Brdiczka2007DetectingIA,
  title={Detecting Individual Activities from Video in a Smart Home},
  author={Oliver Brdiczka and Patrick Reignier and James L. Crowley},
  booktitle={KES},
  year={2007}
}
This paper addresses the detection of activities of individuals in a smart home environment. Our system is based on a robust video tracker that creates and tracks targets using a wide-angle camera. The system uses target position, size and orientation as input for interpretation. Interpretation produces activity labels such as "walking", "standing", "sitting", "interacting with table", or "sleeping" for each target. Bayesian Classifier and Support Vector Machines (SVMs) are compared for… CONTINUE READING

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