ML Anthology

Integrated Spatial and Frequency Domain 2D Motion Segmentation and Estimation

Alexia Briassouli, Narendra Ahuja
ICCV 2005 pp. 244-250
doi:10.1109/ICCV.2005.123 /iccv/2005/briassouli2005iccv-integrated/

Abstract

A video containing multiple objects in rotational and translational motion is analyzed through a combination of spatial and frequency domain representations. It is argued that the combined analysis can take advantage of the strengths of both representations. Initial estimates of constant, as well as time-varying, translation and rotation velocities are obtained from frequency analysis. Improved motion estimates and motion segmentation for the case of translation are achieved by integrating spatial and Fourier domain information. For combined rotational and translational motions, the frequency representation is used for motion estimation, but only spatial information can be used to separate and extract the independently moving objects. The proposed algorithms are tested on synthetic and real videos.

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Text

Briassouli and Ahuja. "Integrated Spatial and Frequency Domain 2D Motion Segmentation and Estimation." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.123

Markdown

[Briassouli and Ahuja. "Integrated Spatial and Frequency Domain 2D Motion Segmentation and Estimation." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/briassouli2005iccv-integrated/) doi:10.1109/ICCV.2005.123

BibTeX

@inproceedings{briassouli2005iccv-integrated,
  title     = {{Integrated Spatial and Frequency Domain 2D Motion Segmentation and Estimation}},
  author    = {Briassouli, Alexia and Ahuja, Narendra},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2005},
  pages     = {244-250},
  doi       = {10.1109/ICCV.2005.123},
  url       = {https://mlanthology.org/iccv/2005/briassouli2005iccv-integrated/}
}