Estimation of Composite Object and Camera Image Motion
Abstract
An approach for estimating composite independent object and camera image motions is proposed. The approach employs spatio-temporal flow models learned through observing typical movements of the object, to decompose image motion into independent object and camera motions. The spatio-temporal flow models of the object motion are represented as a set of orthogonal flow bases that are learned using principal component analysis of instantaneous flow measurements from a stationary camera. These models are then employed in scenes with a moving camera to extract motion trajectories relative to those learned. The performance of the algorithm is demonstrated on several image sequences of rigid and articulated bodies in motion.
Cite
Text
Yacoob and Davis. "Estimation of Composite Object and Camera Image Motion." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.791217Markdown
[Yacoob and Davis. "Estimation of Composite Object and Camera Image Motion." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/yacoob1999iccv-estimation/) doi:10.1109/ICCV.1999.791217BibTeX
@inproceedings{yacoob1999iccv-estimation,
title = {{Estimation of Composite Object and Camera Image Motion}},
author = {Yacoob, Yaser and Davis, Larry S.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1999},
pages = {190-197},
doi = {10.1109/ICCV.1999.791217},
url = {https://mlanthology.org/iccv/1999/yacoob1999iccv-estimation/}
}