The LIRIS human activities dataset

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:

• Subset D1 has been shot with a MS Kinect module mounted on a remotely controlled Wany robotics Pekee II mobile robot which is part of the LIRIS-VOIR platform.
• Subset D2 has been shot with a sony consumer camcorder

Table of contents

	The video data (rgb, grayscale and depth frames) Database structure and file format description
	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
	Actanno/actreader : software for browsing annotated videos and creating new annotations Documentation
	harl-eval : software for evaluationg recognition software and creating Precision/Recall curves Documentation
	Download

Download

All video data, XML data and software tools are available on our download page.

Organization, contact

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.