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Motion Estimation with Edge Continuity Constraint for Crowd Scene Analysis

  • B. Zhan
  • P. Remagnino
  • S. A. Velastin
  • N. Monekosso
  • L. -Q. Xu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4292)

Abstract

This paper presents a new motion estimation method aimed at crowd scene analysis in complex video sequences. The proposed technique makes use of image descriptors extracted from points lying at the maximum curvature on the Canny edge map of an analyzed image. Matches between two consecutive frames are then carried out by searching for descriptors that satisfy both a well-defined similarity metric and a structural constraint imposed by the edge map. A preliminary assessment using real-life video sequences gives both qualitative and quantitative results.

Keywords

Video Sequence Motion Estimation Corner Point Interest Point Edge Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • B. Zhan
    • 1
  • P. Remagnino
    • 1
  • S. A. Velastin
    • 1
  • N. Monekosso
    • 1
  • L. -Q. Xu
    • 2
  1. 1.Digital Imaging Research CentreKingston UniversityUK
  2. 2.British Telecom ResearchIpswichUK

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