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Color video segmentation by lateral inhibition in accumulative computation

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Abstract

The lateral inhibition in accumulative computation (LIAC) algorithm has proved to be an efficient method for moving object segmentation in gray-level video sequences. This paper reviews the main steps and features of the LIAC algorithm, and assesses the suitability of applying the LIAC algorithm to the segmentation of color videos. Two widely used color spaces, namely \(RGB\) and \(HLS\), are used for validating the LIAC algorithm, and a comparison is provided after performance evaluation of the algorithm in both color spaces.

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Acknowledgments

This work is partially supported by Spanish Ministerio de Economía y Competitividad / FEDER under projects TIN2010-20845-C03-01 and TIN2013-47074-C2-1-R. The authors would like to acknowledge the publicly available data sets of the projects CAVIAR and BEHAVE.

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Authors and Affiliations

  1. Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071 , Albacete, Spain

    Antonio Fernández-Caballero & María T. López

  2. Instituto de Investigación en Informática de Albacete (I3A), 02071 , Albacete, Spain

    Juan Serrano-Cuerda & José Carlos Castillo

Authors
  1. Antonio Fernández-Caballero
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  2. María T. López
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  3. Juan Serrano-Cuerda
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  4. José Carlos Castillo
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Correspondence to Antonio Fernández-Caballero.

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Fernández-Caballero, A., López, M.T., Serrano-Cuerda, J. et al. Color video segmentation by lateral inhibition in accumulative computation. SIViP 8, 1179–1188 (2014). https://doi.org/10.1007/s11760-014-0656-1

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  • DOI: https://doi.org/10.1007/s11760-014-0656-1

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