Reconstruction of a Scene with Multiple Linearly Moving Objects
Abstract
We describe an algorithm for reconstructing a scene containing multiple moving objects. Given a monocular image sequence, we recover the scene structure, the trajectories of the moving objects and the camera motion simultaneously. The number of the moving objects is automatically detected without prior motion segmentation. Assuming that the objects are moving linearly with constant speeds, we propose a unified geometrical representation of the static scene and the moving objects. This representation enables the embedding of the motion constraints into the scene structure, which leads to a factorization-based algorithm. Experimental results on synthetic and real images are presented.
Cite
Text
Han and Kanade. "Reconstruction of a Scene with Multiple Linearly Moving Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854908Markdown
[Han and Kanade. "Reconstruction of a Scene with Multiple Linearly Moving Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/han2000cvpr-reconstruction/) doi:10.1109/CVPR.2000.854908BibTeX
@inproceedings{han2000cvpr-reconstruction,
title = {{Reconstruction of a Scene with Multiple Linearly Moving Objects}},
author = {Han, Mei and Kanade, Takeo},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2000},
pages = {2542-2549},
doi = {10.1109/CVPR.2000.854908},
url = {https://mlanthology.org/cvpr/2000/han2000cvpr-reconstruction/}
}