Visual Recognition of Multi-Agent Action Using Binary Temporal Relations

Intille, Stephen S.; Bobick, Aaron F.

doi:10.1109/CVPR.1999.786917

Visual Recognition of Multi-Agent Action Using Binary Temporal Relations

Stephen S. Intille, Aaron F. Bobick

CVPR 1999 pp. 1056-

doi:10.1109/CVPR.1999.786917 /cvpr/1999/intille1999cvpr-visual/

Abstract

A probabilistic framework for representing and visually recognizing complex multi-agent action is presented. Motivated by work in model-based object recognition and designed for the recognition of action from visual evidence, the representation has three components: (1) temporal structure descriptions representing the temporal relationships between agent goals, (2) belief networks for probabilistically representing and recognizing individual agent goals from visual evidence, and (3) belief networks automatically generated from the temporal structure descriptions that support the recognition of the complex action. We describe our current work on recognizing American football plays from noisy trajectory data.

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Cite

Text

Intille and Bobick. "Visual Recognition of Multi-Agent Action Using Binary Temporal Relations." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999. doi:10.1109/CVPR.1999.786917

Markdown

[Intille and Bobick. "Visual Recognition of Multi-Agent Action Using Binary Temporal Relations." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999.](https://mlanthology.org/cvpr/1999/intille1999cvpr-visual/) doi:10.1109/CVPR.1999.786917

BibTeX

@inproceedings{intille1999cvpr-visual,
  title     = {{Visual Recognition of Multi-Agent Action Using Binary Temporal Relations}},
  author    = {Intille, Stephen S. and Bobick, Aaron F.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1999},
  pages     = {1056-},
  doi       = {10.1109/CVPR.1999.786917},
  url       = {https://mlanthology.org/cvpr/1999/intille1999cvpr-visual/}
}