Reflection removal for people detection in video surveillance applications

  • Authors:
  • Dajana Conte;Pasquale Foggia;Gennaro Percannella;Francesco Tufano;Mario Vento

  • Affiliations:
  • Dipartimento di Ingegneria Elettronica e Ingegneria Informatica, Università di Salerno, Fisciano, Italy;Dipartimento di Ingegneria Elettronica e Ingegneria Informatica, Università di Salerno, Fisciano, Italy;Dipartimento di Ingegneria Elettronica e Ingegneria Informatica, Università di Salerno, Fisciano, Italy;Dipartimento di Ingegneria Elettronica e Ingegneria Informatica, Università di Salerno, Fisciano, Italy;Dipartimento di Ingegneria Elettronica e Ingegneria Informatica, Università di Salerno, Fisciano, Italy

  • Venue:
  • ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
  • Year:
  • 2011

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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.