Detecting Multiple Image Motions by Exploiting Temporal Coherence of Apparent Motion

Abstract

Motion-based image segmentation becomes inherently ambiguous when apparent motions of different objects are locally or globally similar during a period. To disambiguate the segmentation, temporal coherence between the local image motion at each edge point and the apparent motion of every object is examined over a long sequence. The point is grouped into that segment of the object whose apparent motion is temporally most coherent with the local image motion at the point.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Chen and Shirai. "Detecting Multiple Image Motions by Exploiting Temporal Coherence of Apparent Motion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323921

Markdown

[Chen and Shirai. "Detecting Multiple Image Motions by Exploiting Temporal Coherence of Apparent Motion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/chen1994cvpr-detecting/) doi:10.1109/CVPR.1994.323921

BibTeX

@inproceedings{chen1994cvpr-detecting,
  title     = {{Detecting Multiple Image Motions by Exploiting Temporal Coherence of Apparent Motion}},
  author    = {Chen, Hsiao-Jing and Shirai, Yoshiaki},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {899-902},
  doi       = {10.1109/CVPR.1994.323921},
  url       = {https://mlanthology.org/cvpr/1994/chen1994cvpr-detecting/}
}