You need to cite the following journal paper in all publications including results for which you used the LIRIS dataset:.
C Wolf, J. Mille, E. Lombardi, O. Celiktutan, M. Jiu, E. Dogan, G. Eren, M. Baccouche, E. Dellandrea, C.-E. Bichot, C. Garcia, B. Sankur, Evaluation of video activity localizations integrating quality and quantity measurements, In Computer Vision and Image Understanding (127):14-30, 2014.
The LIRIS human activities dataset contains (gray/rgb/depth) videos showing people performing various activities taken from daily life (discussing, telphone calls, giving an item etc.). The dataset is fully annotated, where the annotation not only contains information on the action class but also its spatial and temporal positions in the video. It was originally shot for the ICPR-HARL 2012 competition.
The dataset has been shot with two different cameras:
The video data (rgb, grayscale and depth frames) Database structure and file format description |
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The XML annotations of the activity bounding boxes File format documentation | |
Calibration data and software for the MS Kinect depth sensor (useful for subset D1 only) Documentation |
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Actanno/actreader : software for browsing annotated videos and creating new annotations Documentation |
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harl-eval : software for evaluationg recognition software and creating Precision/Recall curves Documentation |
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Download |
All video data, XML data and software tools are available on our download page.
The dataset was collected and produced by members of the LIRIS Laboratory, CNRS, France
Christian Wolf, Julien Mille, Eric Lombardi, Bülent Sankur (BUSIM, Bogazici University, Turkey),
Emmanuel Dellandréa, Christophe Garcia, Charles-Edmond Bichot,
Mingyuan Jiu, Oya Celiktutan, Moez Baccouche
Send questions to christian.wolf (at) liris.cnrs.fr
You need to cite the following journal paper in all publications including results for which you used the LIRIS dataset:.
C Wolf, J. Mille, E. Lombardi, O. Celiktutan, M. Jiu, E. Dogan, G. Eren, M. Baccouche, E. Dellandrea, C.-E. Bichot, C. Garcia, B. Sankur, Evaluation of video activity localizations integrating quality and quantity measurements, In Computer Vision and Image Understanding (127):14-30, 2014.