Exploiting simple hierarchies for unsupervised human behavior analysis

Abstract

We propose a data-driven, hierarchical approach for the analysis of human actions in visual scenes. In particular, we focus on the task of in-house assisted living. In such scenarios the environment and the setting may vary considerably which limits the performance of methods with pre-trained models. Therefore our model of normality is established in a… (More)
DOI: 10.1109/CVPR.2010.5539877

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@article{Nater2010ExploitingSH, title={Exploiting simple hierarchies for unsupervised human behavior analysis}, author={Fabian Nater and Helmut Grabner and Luc Van Gool}, journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition}, year={2010}, pages={2014-2021} }