Procedural Human Action Videos - Depth Maps
Cesar Roberto de Souza and Adrien Gaidon and Yohann Cabon and Antonio Manuel Lopez Pena

folder phav_v2-depth (318 files)
filedepth_5008.tar.bz2 394.78MB
filedepth_5009.tar.bz2 370.51MB
filedepth_5006.tar.bz2 360.35MB
filedepth_5007.tar.bz2 380.89MB
filedepth_5004.tar.bz2 440.28MB
filedepth_5005.tar.bz2 398.18MB
filedepth_5002.tar.bz2 392.98MB
filedepth_5003.tar.bz2 371.36MB
filedepth_4023.tar.bz2 364.11MB
filedepth_5000.tar.bz2 386.73MB
filedepth_5001.tar.bz2 370.31MB
filedepth_4021.tar.bz2 561.04MB
filedepth_4022.tar.bz2 305.86MB
filedepth_4018.tar.bz2 428.71MB
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filedepth_4008.tar.bz2 380.13MB
filedepth_4009.tar.bz2 393.80MB
filedepth_4010.tar.bz2 379.04MB
filedepth_4006.tar.bz2 406.70MB
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filedepth_3121.tar.bz2 379.14MB
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filedepth_3110.tar.bz2 389.03MB
filedepth_3111.tar.bz2 431.23MB
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filedepth_3107.tar.bz2 392.03MB
filedepth_3103.tar.bz2 384.93MB
filedepth_3104.tar.bz2 374.34MB
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Type: Dataset
Tags: deep learning, action recognition, procedural generation, video classification

Bibtex:
@article{desouza17depth,
title= {Procedural Human Action Videos - Depth Maps},
keywords= {Action recognition, procedural generation, deep learning, video classification},
journal= {},
author= {Cesar Roberto de Souza and Adrien Gaidon and Yohann Cabon and Antonio Manuel Lopez Pena},
year= {2017},
url= {http://adas.cvc.uab.es/phav/},
license= {Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)},
abstract= { Procedural Human Action Videos (PHAV)
 -------------------------------------
 
 This torrent contains the Procedural Human Action Videos (PHAV) dataset. This 
 version of the dataset contains 39,982 videos that have been generated by a 
 computer. The dataset is made available under the Creative Commons BY-NC-SA
 (Attribution-NonCommercial-ShareAlike 4.0 International) license. This sub-
 directory contains the Depth Map data modality of these videos.
 
 A human-readable version of the license terms is available at:
 
   - https://creativecommons.org/licenses/by-nc-sa/4.0/
   
 The full license terms are available at:
 
   - https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
   
 By using PHAV, you agree to abide to the terms of the Creative Commons BY-NC-SA
 license. If you do not agree with the terms of this license, please contact the
 dataset authors for other licensing options.
 
 
 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/
  },
superseded= {},
terms= {By using PHAV, you agree to abide to the terms of the Creative Commons BY-NC-SA license.}
}

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