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arXiv · 1506.04051

Towards Benchmarking Scene Background Initialization

Lucia Maddalena·Alfredo Petrosino
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Abstract

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.

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Lucia Maddalena, Alfredo Petrosino. 2015-06-12. Towards Benchmarking Scene Background Initialization. https://arxiv.org/abs/1506.04051

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