Categorical Representation and Recognition of Oscillatory Motion Patterns
Abstract
Many communicative behaviors in the animal kingdom consist of performing and recognizing specialized patterns of oscillatory motion. Here we present an approach to the representation and recognition of these oscillatory motions based on the categorical organization of a simple sinusoidal model having very specific and limited parameter values. This characterization is used to specify the types and layout of computation for recognizing the patterns. Results of the method are demonstrated with real oscillatory motions showing the viability of a structured categorical framework.
Cite
Text
Davis et al. "Categorical Representation and Recognition of Oscillatory Motion Patterns." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.855878Markdown
[Davis et al. "Categorical Representation and Recognition of Oscillatory Motion Patterns." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/davis2000cvpr-categorical/) doi:10.1109/CVPR.2000.855878BibTeX
@inproceedings{davis2000cvpr-categorical,
title = {{Categorical Representation and Recognition of Oscillatory Motion Patterns}},
author = {Davis, James W. and Richards, Whitman and Bobick, Aaron F.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2000},
pages = {1628-1635},
doi = {10.1109/CVPR.2000.855878},
url = {https://mlanthology.org/cvpr/2000/davis2000cvpr-categorical/}
}