Martin Kirschmeyer

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We describe a method for tracking people using a time-of-flight camera and apply the method for persistent authentication in a smart-environment. A background model is built by fusing information from intensity and depth images. While a geometric constraint is employed to improve pixel cluster coherence and reducing the influence of noise, the EM algorithm(More)
Inhabitants in smart environments are often authenticated when they enter the smart environment, e.g., through biometrics or smart-/swipe-card systems. It may sometimes be necessary to re-authenticate when an inhabitant wishes to enter a restricted area or access ambient services or location based information, e.g., it is common to have swipe card terminals(More)
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