Towards Benchmarking Scene Background Initialization

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9281)


Given a set of images of a scene taken at different times, the availability of an initial background model that describes the scene without foreground objects is the prerequisite for a wide range of applications, ranging from video surveillance to computational photography. Even though several methods have been proposed for scene background initialization, the lack of a common groundtruthed dataset and of a common set of metrics makes it difficult to compare their performance. To move first steps towards an easy and fair comparison of these methods, we assembled a dataset of sequences frequently adopted for background initialization, selected or created ground truths for quantitative evaluation through a selected suite of metrics, and compared results obtained by some existing methods, making all the material publicly available.


Background initialization Video analysis Video surveillance 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institute for High-Performance Computing and NetworkingNational Research CouncilNaplesItaly
  2. 2.Department of Science and TechnologyUniversity of Naples ParthenopeNaplesItaly

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