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Qualitative Motion Analysis Using a Spatio-Temporal Approach

Shih-Ping Liou, Ramesh C. Jain
CVPR 1991 pp. 726-727
doi:10.1109/CVPR.1991.139801 /cvpr/1991/liou1991cvpr-qualitative/

Abstract

A spatio-temporal approach is presented which can extract motion information without requiring the computation of image flow. In this approach, an image sequence is treated as a single 3-D image. The sequence is first segmented through the grouping of voxels in the spatio-temporal space. After the image sequence is segmented, the area in the image which corresponds to the moving objects in the scene is identified. The direction of motion in space for each identified moving object is reported.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Liou and Jain. "Qualitative Motion Analysis Using a Spatio-Temporal Approach." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139801

Markdown

[Liou and Jain. "Qualitative Motion Analysis Using a Spatio-Temporal Approach." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/liou1991cvpr-qualitative/) doi:10.1109/CVPR.1991.139801

BibTeX

@inproceedings{liou1991cvpr-qualitative,
  title     = {{Qualitative Motion Analysis Using a Spatio-Temporal Approach}},
  author    = {Liou, Shih-Ping and Jain, Ramesh C.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {726-727},
  doi       = {10.1109/CVPR.1991.139801},
  url       = {https://mlanthology.org/cvpr/1991/liou1991cvpr-qualitative/}
}