Abstract
In this paper we present a method removing reflection of people on shiny floors in the context of people detection for video analysis applications. The method exploits chromatic properties of the reflections and does not require a geometric model of the objects. An experimental evaluation of the proposed method, performed on a significant database containing several publicly available videos, demonstrates its effectiveness. The proposed technique also favorably compares with respect to other state of the art algorithms for reflection removal.
This research has been partially supported by A.I.Tech s.r.l., a spin-off company of the University of Salerno (www.aitech-solutions.eu).
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Conte, D., Foggia, P., Percannella, G., Tufano, F., Vento, M. (2011). Reflection Removal for People Detection in Video Surveillance Applications. In: Maino, G., Foresti, G.L. (eds) Image Analysis and Processing – ICIAP 2011. ICIAP 2011. Lecture Notes in Computer Science, vol 6978. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24085-0_19
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DOI: https://doi.org/10.1007/978-3-642-24085-0_19
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