Motion estimation of two-dimensional objects based on the straight line Hough transform: A new approach

Hsiang Ling Li, Chaitali Chakrabarti

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In this paper we propose a novel technique for estimating motion of two-dimensional objects. The technique involves representing objects uniquely by straight-line approximations of the boundary, {(θ, p)} and estimating motion from shifts in the θ - p space. The straight-line approximation of the boundary is obtained by detecting dominant points during contour tracing and then approximating the pixels between adjacent dominant points (along the contour) by a straight line using the Hough transform. We have developed a computationally efficient way of detecting dominant points in a single pass during contour tracing. The proposed object representation enables us to determine the translation and rotation with significantly fewer computations compared with existing methods. Our method can also detect the motion parameters correctly for partially overlapping objects.

Original languageEnglish (US)
Pages (from-to)1245-1258
Number of pages14
JournalPattern Recognition
Volume29
Issue number8
DOIs
StatePublished - Aug 1996

Keywords

  • Contour tracing
  • Dominant point
  • Hough transform
  • Inverse hough transform
  • Motion estimation
  • Overlapping objects
  • Region of support

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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