Sebastian Zambanini

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In a smart home system, a camera-based fall detector at elderly homes leads to immediate alarming and helping. In this paper we propose an approach for the detection of falls based on multiple cameras. Based on semantic driven features, fall detection is done in 3D and fuzzy logic is used to estimate confidence values for different human postures as well as(More)
The vision-based detection of hand gestures is one technological enabler for <i>Natural User Interfaces</i> which try to provide a natural and intuitive interaction with computers. In particular, mobile devices might benefit from such a less device-centric but more natural input possibility. In this paper, we introduce our ongoing work on the visual(More)
In the context of ambient assisted living, camera-based fall detectors at elderly homes leads to immediate alarming and helping. In this paper we propose a novel approach for the detection of falls based on multiple cameras. Based on semantic driven features fall detection is done in 2D and each camera decides on its own, if a fall has occurred. Fuzzy logic(More)
The most successful approaches to video understanding and video matching use local spatio-temporal features as a sparse representation for video content. Until now, no principled evaluation of these features has been done. We present FeEval, a dataset for the evaluation of such features. For the first time, this dataset allows for a systematic measurement(More)