Abstract
An approach enabling the detection, tracking and fine analysis (e.g. gender and facial expression classification) of faces using a single web camera is described. One focus of the contribution lies in the description of the concept of a framework (the so-called Sophisticated High-speed Object Recognition Engine – SHORE), designed in order to create a flexible environment for varying detection tasks. The functionality and the setup of the framework are described, and a coarse overview about the algorithms used for the classification tasks will be given. Benchmark results have been obtained on both, standard and publicly available face data sets. Even though the framework has been designed for general object recognition tasks, the focus of this contribution lies in the field of face detection and facial analysis. In addition a demonstration application based on the described framework is given to show analysis of still images, movies or video streams.
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Notes
- 1.
In the BioID data set there is one image (number 1140) showing two faces.
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Ruf, T., Ernst, A., Küblbeck, C. (2011). Face Detection with the Sophisticated High-speed Object Recognition Engine (SHORE). In: Heuberger, A., Elst, G., Hanke, R. (eds) Microelectronic Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23071-4_23
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DOI: https://doi.org/10.1007/978-3-642-23071-4_23
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