Visual abnormal event detection for prolonged independent living
نویسندگان
چکیده
In this paper, we apply visual surveillance techniques to in-house 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. Keywords-visual surveillance; independent living; abnormal behavior detection; human tracking;
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