Abstract
With the arise of Web 2.0 and social networks, millions of people upload multimedia contents on the web every day. Images are typically published without control and only if users report a problem, unappropriate or offensive content are removed. So, there is the need of a system for automatically processing such kind of data.
In this paper we propose a system, based on a multiple classifier approach, for detecting naked human bodies in images. It analyzes both body geometric properties and global visual features. A comparison with other state-of-the-art proposals demonstrated the effectiveness of the proposed approach.
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Esposito, L.G., Sansone, C. (2013). A Multiple Classifier Approach for Detecting Naked Human Bodies in Images. In: Petrosino, A. (eds) Image Analysis and Processing – ICIAP 2013. ICIAP 2013. Lecture Notes in Computer Science, vol 8157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41184-7_40
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DOI: https://doi.org/10.1007/978-3-642-41184-7_40
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