%Aigaion2 BibTeX export from Idiap Publications
%Thursday 21 November 2024 01:15:33 PM

@INPROCEEDINGS{Yao_CVPR-VS2007_2007,
         author = {Yao, Jian and Odobez, Jean-Marc},
       projects = {Idiap, CARETAKER},
          month = {6},
          title = {Multi-Layer Background Subtraction Based on Color and Texture},
      booktitle = {CVPR 2007 Workshop on Visual
 Surveillance (VS2007)},
           year = {2007},
       crossref = {Yao_Idiap-RR-67-2007},
       abstract = {In this paper, we propose a robust multi-layer background
subtraction technique which takes advantages of
local texture features represented by local binary patterns
(LBP) and photometric invariant color measurements in
RGB color space. LBP can work robustly with respective
to light variation on rich texture regions but not so efficiently
on uniform regions. In the latter case, color information
should overcome LBP{\^{a}}€™s limitation. Due to the
illumination invariance of both the LBP feature and the selected
color feature, the method is able to handle local illumination
changes such as cast shadows from moving objects.
Due to the use of a simple layer-based strategy, the
approach can model moving background pixels with quasiperiodic
flickering as well as background scenes which may
vary over time due to the addition and removal of long-time
stationary objects. Finally, the use of a cross-bilateral filter
allows to implicitly smooth detection results over regions of
similar intensity and preserve object boundaries. Numerical
and qualitative experimental results on both simulated
and real data demonstrate the robustness of the proposed
method.},
            pdf = {https://publications.idiap.ch/attachments/papers/2007/Yao_CVPR-VS2007_2007.pdf}
}



crossreferenced publications: 
@TECHREPORT{Yao_Idiap-RR-67-2007,
         author = {Yao, Jian and Odobez, Jean-Marc},
       projects = {Idiap, CARETAKER},
          month = {5},
          title = {Multi-Layer Background Subtraction Based on Color and Texture},
           type = {Idiap-RR},
         number = {Idiap-RR-67-2007},
           year = {2007},
    institution = {Idiap},
       abstract = {In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and photometric invariant color measurements in RGB color space. LBP can work robustly with respective to light variation on rich texture regions but not so efficiently on uniform regions. In the latter case, color information should overcome LBP{\^{a}}€™s limitation. Due to the illumination invariance of both the LBP feature and the selected color feature, the method is able to handle local illumination changes such as cast shadows from moving objects. Due to the use of a simple layer- based strategy, the approach can model moving background pixels with quasi-periodic flickering as well as background scenes which may vary over time due to the addition and removal of long-time stationary objects. Finally, the use of a cross-bilateral filter allows to implicitly smooth detection results over regions of similar intensity and preserve object boundaries. Numerical and qualitative experimental results on both simulated and real data demonstrate the robustness of the proposed method.},
            pdf = {https://publications.idiap.ch/attachments/reports/2007/Yao_Idiap-RR-67-2007.pdf}
}