Abstract
One of the cornerstones of ambient intelligence technology is the need of sensory systems to reliably notice the presence of people. Several approaches for detecting humans within a non-controlled scenario can be found in the literature but they exhibit not enough effectiveness, i.e. a high rate of false positive or true negative detections. This becomes a drawback for the development of a variety of ambient intelligence applications which depend on such a sensory capability.
In this paper we propose the use of a TOF camera for noticing human presence by detecting their faces. Apart from a typical intensity image, this camera also provides a range image of the scene. The proposed methodology first detects faces from the intensity image (by using the Viola-Jones algorithm) and then analyzes those detections in the range image to discard false positives. Experimental evaluations of the proposed process have yielded excellent results in non-controlled scenarios, eliminating most of the false positive detections.
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Ruiz-Sarmiento, J.R., Galindo, C., Gonzalez, J. (2011). Improving Human Face Detection through TOF Cameras for Ambient Intelligence Applications. In: Novais, P., Preuveneers, D., Corchado, J.M. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent and Soft Computing, vol 92. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19937-0_16
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DOI: https://doi.org/10.1007/978-3-642-19937-0_16
Publisher Name: Springer, Berlin, Heidelberg
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