PHAV [RSS] [CSV]

## The Procedural Human Action Videos (PHAV) Dataset

http://adas.cvc.uab.es/phav/wp-content/uploads/sites/18/2016/12/figure_1.jpg

## Description. 
The torrents below contain the Procedural Human Action Videos (PHAV) dataset. This version of the dataset contains 39,982 videos that have been generated autonomously by a computer. The dataset is made available under the Creative Commons BY-NC-SA (Attribution-NonCommercial-ShareAlike 4.0 International) license. For more information, including details about how to parse the different files included in this release, how to use them in your experiments, and how to cite the PHAV dataset in your academical paper, please visit: http://adas.cvc.uab.es/phav/">http://adas.cvc.uab.es/phav/

## License. 
PLEASE READ THESE TERMS CAREFULLY BEFORE DOWNLOADING THE PHAV DATASET. DOWNLOADING OR USING THE DATASET MEANS YOU ACCEPT THESE TERMS. The PHAV Dataset may be used for non-commercial purposes only and is subject to the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license, a summary of which is https://creativecommons.org/licenses/by-nc-sa/4.0/. By using PHAV, you agree to abide to the terms of this license. If you do not agree with the terms of this license, please contact the dataset authors for other licensing options.<

## Attribution.
When using or referring to this dataset in your research, please cite cite our CVPR 2017 paper https://arxiv.org/abs/1612.00881

```
Procedural Generation of Videos to Train Deep Action Recognition Networks
Cesar Roberto de Souza, Adrien Gaidon, Yohann Cabon, Antonio Manuel Lopez Pena
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
```

We provide the following .bibtex entry for convenience:

```
@inproceedings{DeSouza:Procedural:CVPR2017,
author = {De Souza, C R and Gaidon, A and Cabon, Y and Lopez Pena, A M },
title = {Procedural Generation of Videos to Train Deep Action Recognition Networks},
booktitle = {CVPR},
year = {2017}
}
```