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Publications of year 2016
Articles in journal or book chapters
  1. C. Gomez Gonzalez, O. Absil, P.-A. Absil, M. Van Droogenbroeck, D. Mawet, and J. Surdej. Low-rank plus sparse decomposition for exoplanet detection in direct imaging ADI sequences: The LLSG algorithm. Astronomy & Astrophysics, 589(A54):1-9, May 2016. Keyword(s): VORTEX project, High angular resolution, Image processing, Detection of planets, Sparse decomposition, Detection, Planets and satellites.
    @article{Gomez2016LowRank,
    title = {Low-rank plus sparse decomposition for exoplanet detection in direct imaging {ADI} sequences: {T}he {LLSG} algorithm},
    author = {C. {Gomez Gonzalez} and O. Absil and P.-A. Absil and M. {Van Droogenbroeck} and D. Mawet and J. Surdej},
    journal = {Astronomy \& Astrophysics},
    volume = {589},
    number = {A54},
    year = {2016},
    month = {May},
    pages = {1-9},
    doi = {10.1051/0004-6361/201527387},
    url = {http://hdl.handle.net/2268/196090},
    pdf = {http://www.aanda.org/articles/aa/pdf/2016/05/aa27387-15.pdf},
    keywords = {VORTEX project, High angular resolution, Image processing, Detection of planets, Sparse decomposition, Detection, Planets and satellites} 
    }
    


  2. S. Piérard, A. Lejeune, and M. Van Droogenbroeck. Boosting Shape Classifiers Accuracy by Considering the Inverse Shape. Journal of Pattern Recognition Research, 11(1):41-54, 2016. Keyword(s): Shape descriptor, Inverse shape, Object classification, Cover by rectangles, Zernike moments.
    @article{Pierard2016Boosting,
    title = {Boosting Shape Classifiers Accuracy by Considering the Inverse Shape},
    author = {S. Pi{\'e}rard and A. Lejeune and M. {Van Droogenbroeck}},
    journal = {Journal of Pattern Recognition Research},
    volume = {11},
    number = {1},
    pages = {41-54},
    year = {2016},
    keywords = {Shape descriptor, Inverse shape, Object classification, Cover by rectangles, Zernike moments},
    doi = {10.13176/11.727},
    pdf = {http://orbi.ulg.ac.be/bitstream/2268/198724/1/Pierard2016Boosting.pdf},
    url = {http://hdl.handle.net/2268/198724} 
    }
    


Conference articles
  1. S. Azrour, S. Piérard, and M. Van Droogenbroeck. Improving pose estimation by building dedicated datasets and using orientation. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Pose estimation, Human, Depth camera, 3D camera, Orientation.
    @inproceedings{Azrour2016Improving,
    title = {Improving pose estimation by building dedicated datasets and using orientation},
    author = {S. Azrour and S. Pi{\'e}rard and M. {Van Droogenbroeck}},
    booktitle = {IET Workshop on Human Motion Analysis for Healthcare Applications},
    year = {2016},
    month = May,
    address = {London, United Kingdom},
    keywords = {Pose estimation, Human, Depth camera, 3D camera, Orientation},
    url = {http://hdl.handle.net/2268/195889},
    pdf = {http://orbi.ulg.ac.be/bitstream/2268/195889/1/Azrour2016Improving_poster.pdf} 
    }
    


  2. S. Azrour, S. Piérard, and M. Van Droogenbroeck. Leveraging orientation knowledge to enhance human pose estimation methods. In Articulated Motion and Deformable Objects AMDO, volume 9756 of Lecture Notes in Computer Science, Palma, Mallorca, Spain, pages 81-87, 2016. Springer. Keyword(s): Human pose estimation, Orientation, 3D, Machine learning.
    @inproceedings{Samir2016Leveraging,
    title = {Leveraging orientation knowledge to enhance human pose estimation methods},
    author = {S. Azrour and S. Pi{\'e}rard and M. {Van Droogenbroeck}},
    booktitle = {Articulated Motion and Deformable Objects AMDO},
    series = {Lecture Notes in Computer Science},
    volume = {9756},
    pages = {81-87},
    year = {2016},
    publisher = {Springer},
    address = {Palma, Mallorca, Spain},
    keywords = {Human pose estimation, Orientation, 3D, Machine learning},
    doi = {10.1007/978-3-319-41778-3_8},
    url = {http://hdl.handle.net/2268/196680},
    pdf = {http://orbi.ulg.ac.be/bitstream/2268/196680/1/Azrour2016Leveraging.pdf} 
    }
    


  3. M. Braham and M. Van Droogenbroeck. Deep Background Subtraction with Scene-Specific Convolutional Neural Networks. In International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava, Slovakia, pages 1-4, May 2016. Keyword(s): Background subtraction, Deep learning, Machine learning, CDNet, Change detection, CDNet 2014.
    @inproceedings{Braham2016Deep,
    title = {Deep Background Subtraction with Scene-Specific Convolutional Neural Networks},
    author = {M. Braham and M. {Van Droogenbroeck}},
    booktitle = {International Conference on Systems, Signals and Image Processing (IWSSIP)},
    year = {2016},
    month = {May},
    pages = {1-4},
    address = {Bratislava, Slovakia},
    url = {http://hdl.handle.net/2268/195180},
    url = {http://www.telecom.ulg.ac.be/publi/publications/braham/Braham2016Deep/index.html},
    doi = {10.1109/IWSSIP.2016.7502717},
    pdf = {http://orbi.ulg.ac.be/bitstream/2268/195180/1/Braham2016Deep.pdf},
    keywords = {Background subtraction, Deep learning, Machine learning, CDNet, Change detection, CDNet 2014} 
    }
    


  4. B. Laugraud and S. Piérard M. Van Droogenbroeck. LaBGen-P: A Pixel-Level Stationary Background Generation Method Based on LaBGen. In International Conference on Pattern Recognition (ICPR), Scene Background Modeling Contest (SBMC), Cancun, Mexico, December 2016. Note: Source code in C++ available, see http://www.telecom.ulg.ac.be/labgen. Keyword(s): Background generation, Background modelling, Background image, Source code, LaBGen, Background estimation, Initialization, SBMnet, SBMC, Motion detection, LaBGen.
    @inproceedings{Laugraud2016LaBGen-P,
    title = {{LaBGen-P}: A Pixel-Level Stationary Background Generation Method Based on {LaBGen}},
    author = {B. Laugraud and S. Pi{\'e}rard M. {Van Droogenbroeck}},
    booktitle = {International Conference on Pattern Recognition (ICPR), Scene Background Modeling Contest (SBMC)},
    address = {Cancun, Mexico},
    month = {December},
    year = {2016},
    note = {source code in C++ available, see http://www.telecom.ulg.ac.be/labgen},
    keywords = {Background generation, Background modelling, Background image, Source code, LaBGen, Background estimation, Initialization, SBMnet, SBMC, Motion detection, LaBGen},
    doi = {10.1109/ICPR.2016.7899617},
    pdf = {http://orbi.ulg.ac.be/bitstream/2268/201146/1/Laugraud2016LaBGen-P.pdf},
    url = {http://hdl.handle.net/2268/201146} 
    }
    


  5. J. Osmalskyj, M. Van Droogenbroeck, and J.-J. Embrechts. Enhancing Cover Song Identification with Hierarchical Rank Aggregation. In International Society for Music Information Retrieval Conference (ISMIR), New York City, USA, pages 136-142, August 2016. Keyword(s): Music information retrieval, Cover song identification, Rank aggregation.
    @inproceedings{Osmalskyj2016Enhancing,
    title = {Enhancing Cover Song Identification with Hierarchical Rank Aggregation},
    author = {J. Osmalskyj and M. {Van Droogenbroeck} and J.-J. Embrechts},
    booktitle = {International Society for Music Information Retrieval Conference (ISMIR)},
    month = {August},
    pages = {136-142},
    year = {2016},
    address = {New York City, USA},
    keywords = {Music information retrieval, Cover song identification, Rank aggregation},
    url = {http://hdl.handle.net/2268/196764} 
    }
    


  6. S. Piérard and S. Azrour M. Van Droogenbroeck. Slicing the 3D space into planes for the fast interpretation of human motion. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Human, Motion, Gait analysis, GAIMS.
    @inproceedings{Pierard2016Slicing,
    title = {Slicing the {3D} space into planes for the fast interpretation of human motion},
    author = {S. Pi{\'e}rard and S. Azrour M. {Van Droogenbroeck}},
    booktitle = {IET Workshop on Human Motion Analysis for Healthcare Applications},
    year = {2016},
    month = May,
    address = {London, United Kingdom},
    keywords = {Human, Motion, Gait analysis, GAIMS},
    pdf = {http://orbi.ulg.ac.be/bitstream/2268/195890/1/Pierard2016Slicing-poster.pdf},
    url = {http://hdl.handle.net/2268/195890} 
    }
    


  7. S. Piérard and M. Van Droogenbroeck. What are the optimal walking tests to assess disability progression?. In European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), London, UK, September 2016. Keyword(s): GAIMS, Gait analysis, Multiple sclerosis.
    @inproceedings{Pierard2016What,
    title = {What are the optimal walking tests to assess disability progression?},
    author = {S. Pi{\'e}rard and M. {Van Droogenbroeck}},
    booktitle = {European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS)},
    year = {2016},
    month = {September},
    address = {London, UK},
    keywords = {GAIMS, Gait analysis, Multiple sclerosis},
    url = {http://hdl.handle.net/2268/198952},
    pdf = {http://orbi.ulg.ac.be/bitstream/2268/198952/1/Pierard2016WhatAre_poster.pdf} 
    }
    



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