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. © 2011 Springer-Verlag.
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CITATION STYLE
Conte, D., Foggia, P., Percannella, G., Tufano, F., & Vento, M. (2011). Reflection removal for people detection in video surveillance applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6978 LNCS, pp. 178–186). https://doi.org/10.1007/978-3-642-24085-0_19
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