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Visual abnormal event detection for prolonged independent living

F.Nater, H.Grabner, and L.Van Gool
IEEE Healthcom Workshop on mHealth
July 2010


In this paper, we apply visual surveillance techniques to inhouse abnormal event detection, where (elderly) persons are monitored in order to assure their well-being. By means of a camera installed in a living room, we are able to spot not only if the person falls, but also other, more subtle abnormal events. We summarize two existing methods and compare them on two video sequences. The approaches both appear to perform well and additionally permit a semantic reasoning on the nature of the (abnormal) human behavior in the scene.

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  author = {F.Nater and H.Grabner and and L.Van Gool},
  title = {Visual abnormal event detection for prolonged independent living},
  booktitle = {IEEE Healthcom Workshop on mHealth},
  year = {2010},
  month = {July},
  keywords = {}