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An Algorithm for Recovering Camouflage Errors on Moving People

  • D. Conte
  • P. Foggia
  • G. Percannella
  • F. Tufano
  • M. Vento
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6218)

Abstract

In this paper we present a model-based algorithm working as a post-processing phase of any foreground object detector. The model is suited to recover camouflage errors producing the segmentation of an entity in small and unconnected parts. The model does not require training procedures, but only information about the estimated size of the person, obtainable when an inverse perspective mapping procedure is used.

A quantitative evaluation of the effectiveness of the method, used after four well known moving object detection algorithms has been carried out. Performance are given on a variety of publicly available databases, selected among those presenting highly camouflaged objects in real scenes referring to both indoor and outdoor environments.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • D. Conte
    • 1
  • P. Foggia
    • 1
  • G. Percannella
    • 1
  • F. Tufano
    • 1
  • M. Vento
    • 1
  1. 1.Dipartimento di Ingegneria dell’Informazione ed Ingegneria ElettricaVia Ponte Don MelilloFiscianoItaly

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