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">></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.1994.323921Markdown
[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.1994.323921BibTeX
@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/}
}