Region segmentation based on active mesh representation of motion: comparison of parallel and sequential approaches

Yao Wang, Xia Ming Hsieh, Jian Hong Hu, Ouseb Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An active mesh representation of motion has been developed by the authors. It describes the motion in an image sequence by the trajectories of a set of nodes that form a mesh (also known as a control grid). In this paper we investigate how to cluster the nodes, or equivalently the mesh elements, so that the nodes in the same group have similar global motions. We present and compare two approaches. The parallel approach first finds a set of global motion parameters for each element and then partition these parameters using the K-means clustering algorithm; The sequential (or layered) approach recursively extracts the nodes with the dominant motion from all the nodes, using a modified robust regression algorithm.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Editors Anon
PublisherIEEE
Pages185-188
Number of pages4
Volume2
StatePublished - 1996
EventProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA
Duration: Oct 23 1995Oct 26 1995

Other

OtherProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)
CityWashington, DC, USA
Period10/23/9510/26/95

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Wang, Y., Hsieh, X. M., Hu, J. H., & Lee, O. (1996). Region segmentation based on active mesh representation of motion: comparison of parallel and sequential approaches. In Anon (Ed.), IEEE International Conference on Image Processing (Vol. 2, pp. 185-188). IEEE.