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  • 标题:A Survey of Pedestrian Detection in Video
  • 本地全文:下载
  • 作者:Achmad Solichin ; Agus Harjoko ; Agfianto Eko Putra
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2014
  • 卷号:5
  • 期号:10
  • DOI:10.14569/IJACSA.2014.051007
  • 出版社:Science and Information Society (SAI)
  • 摘要:Pedestrian detection is one of the important topics in computer vision with key applications in various fields of human life such as intelligent vehicles, surveillance and advanced robotics. In recent years, research related to pedestrian detection commonplace. This paper aims to review the papers related to pedestrian detection in order to provide an overview of the recent research. Main contribution of this paper is to provide a general overview of pedestrian detection process that is viewed from different sides of the discussion. We divide the discussion into three stages: input, process and output. This paper does not make a selection or technique best method and optimal because the best technique depends on the needs, concerns and existing environment. However, this paper is useful for future researchers who want to know the current researches related to pedestrian detection.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; pedestrian detection; video; paper review
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