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Communication Dans Un Congrès Année : 2014

An Improved colorimetric invariants and RGB-Depth-based Codebook model for background subtraction using kinect

Résumé

In this paper we propose to join the benefits of multiple in- variant information into the well-know background subtraction method 'Codebook'. Indeed, this method mainly repose on a color model allowing a separate process of color and intensity distortion. In order to manage hard situations involving high illumination changes, we propose to enhance this model with the use of two supplementary steps: 1/ transforming the input color image using a colorimetric invariant in order to obtain a color-invariant image whatever the illumination conditions; 2/ using depth information as a new data inside the Codebook model, thus performing an RGB-D fusion during the segmentation process.
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Dates et versions

hal-01471395 , version 1 (20-02-2017)

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Julian Murgia, Cyril Meurie, Yassine Ruichek. An Improved colorimetric invariants and RGB-Depth-based Codebook model for background subtraction using kinect. 3th Mexican International Conference on Artificial Intelligence, Nov 2014, Chiapas, Mexico. pp 380-392, ⟨10.1007/978-3-319-13647-9_35⟩. ⟨hal-01471395⟩
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