Perceiving Systems, Computer Vision

Combining intensity and motion for incremental segmentation and tracking over long image sequences

1992

Conference Paper

ps


This paper presents a method for incrementally segmenting images over time using both intensity and motion information. This is done by formulating a model of physically significant image resgions using local constraints on intensity and motion and then finding the optimal segmentation over time using an incremental stochastic minimization technique. The result is a robust and dynamic segmentation of the scene over a sequence of images. The approach has a number of benefits. First, discontinuities are extracted and tracked simultaneously. Second, a segmentation is always available and it improves over time. Finally, by combining motion and intensity, the structural properties of discontinuities can be recovered; that is, discontinuities can be classified as surface markings or actual surface boundaries.

Author(s): Black, M. J.
Book Title: Proc. Second European Conf. on Computer Vision, ECCV-92
Pages: 485-493
Year: 1992
Month: May
Series: LNCS 588
Publisher: Springer Verlag

Department(s): Perceiving Systems
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

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BibTex

@inproceedings{Black:ECCV:1992,
  title = {Combining intensity and motion for incremental segmentation and tracking over long image sequences},
  author = {Black, M. J.},
  booktitle = {Proc. Second European Conf. on Computer Vision, ECCV-92},
  pages = {485-493},
  series = {LNCS 588},
  publisher = {Springer Verlag},
  month = may,
  year = {1992},
  doi = {},
  month_numeric = {5}
}