• DocumentCode
    1726649
  • Title

    Human detection using non-negative matrix factorization

  • Author

    Jing-Xiu Zeng ; Chih-Yang Lin ; Wei-Yang Lin

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
  • fYear
    2015
  • Firstpage
    370
  • Lastpage
    371
  • Abstract
    Currently, most of the human detection methods are based on low-level features. In this paper, we proposed a middle-level feature generation method based on non-negative matrix factorization (NMF) for human detection. We also proposed an improvement scheme to guarantee that a better middle-level feature can be achieved. The proposed scheme can be applied to a complex background and the experimental results are better than those when only the low-level feature is involved.
  • Keywords
    matrix decomposition; object detection; human detection; middle-level feature generation method; non-negative matrix factorization; Biomedical imaging; Computer vision; Conferences; Feature extraction; Pattern recognition; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICCE-TW.2015.7216949
  • Filename
    7216949