Appearance Based Behavior Recognition by Event Driven Selective Attention
Abstract
Most of behavior recognition methods proposed so far share the limitations of bottom-up analysis, and single-object assumption; the bottom-up analysis can be confused by erroneous and missing image features and the single-object assumption prevents us from analyzing image sequences including multiple moving objects. This paper presents a robust behavior recognition method free from these limitations. Our method is best characterized by 1) top-down image feature extraction by selective attention mechanism, 2) object discrimination by colored-token propagation, and 3) integration of multi-viewpoint images. Extensive experiments of human behavior recognition in real world environments demonstrate the soundness and robustness of our method.
Cite
Text
Wada and Matsuyama. "Appearance Based Behavior Recognition by Event Driven Selective Attention." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998. doi:10.1109/CVPR.1998.698689Markdown
[Wada and Matsuyama. "Appearance Based Behavior Recognition by Event Driven Selective Attention." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1998.](https://mlanthology.org/cvpr/1998/wada1998cvpr-appearance/) doi:10.1109/CVPR.1998.698689BibTeX
@inproceedings{wada1998cvpr-appearance,
title = {{Appearance Based Behavior Recognition by Event Driven Selective Attention}},
author = {Wada, Toshikazu and Matsuyama, Takashi},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1998},
pages = {759-764},
doi = {10.1109/CVPR.1998.698689},
url = {https://mlanthology.org/cvpr/1998/wada1998cvpr-appearance/}
}