Background estimation and update in cluttered surveillance video via the Radon transform

N. Conci; Ebroul Izquierdo

doi:10.1117/12.872517

31 January 2011 Background estimation and update in cluttered surveillance video via the Radon transform

N. Conci, Ebroul Izquierdo

Proceedings Volume 7882, Visual Information Processing and Communication II; 78820J (2011) https://doi.org/10.1117/12.872517
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

In this paper we propose a background estimation and update algorithm for cluttered video surveillance sequences in indoor scenarios. Taking inspiration from the sophisticated framework of the Beamlets, the implementation we propose here relies on the integration of the Radon transform in the processing chain, applied on a blockby- block basis. During the acquisition of the real-time video, the Radon transform is applied at each frame in order to extract the meaningful information in terms of edges and texture present in the block under analysis, providing with the goal of extracting a signature for each portion of the image plane. The acquired model is updated at each frame, thus achieving a reliable representation of the most relevant details that persist over time for each processed block. The algorithm is validated in typical surveillance contexts and presented in this paper using two video sequences. The first example is an indoor scene with a considerably static background, while the second video belongs to a more complex scenario which is part of the PETS benchmark sequences.

Citation Download Citation

N. Conci and Ebroul Izquierdo "Background estimation and update in cluttered surveillance video via the Radon transform", Proc. SPIE 7882, Visual Information Processing and Communication II, 78820J (31 January 2011); https://doi.org/10.1117/12.872517

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KEYWORDS

Video

Video surveillance

Radon transform

Image segmentation

Surveillance

Positron emission tomography

Radon

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