Pedestrian registration in static images with unconstrained background

نویسندگان

  • Lixin Fan
  • Kah Kay Sung
  • Teck Khim Ng
چکیده

This paper introduces a human body contour registration method for static pedestrian images with unconstrained background. By using a statistical compound model to impose structural and textural constraints on valid pedestrian appearances, the matching process is robust to image clutter. Experimental results show that the proposed method register pedestrian contours in complex background effectively.

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عنوان ژورنال:
  • Pattern Recognition

دوره 36  شماره 

صفحات  -

تاریخ انتشار 2003