The dataset consists of 21 video clips (16 seconds each, full HD, 25 fps) and associated annotations in xml format of privacy-sensitive regions. Video clips show people performing various actions in indoor and outdoor environments during day and night times. The people shown in the videos are of different gender and ethnicity.
Details about videos
Video clips are in MPEG-2 format, 16 seconds each, with a resolution of full HD resolution (1920×1080 pixels) at 25 frames per second. They were recorded using Canon HD HG21 camera and converted to MPEG-2 format with ffmpeg. There are 21 video clips in total.
- simple walking (1 participant)
- stealing (2 participants)
- dropping a bag (1 participant)
- fighting (2 participants).
Several scenes were recorded for each scenario from two different angles by two cameras. Most of the participants in dataset recording were students from EPFL campus. Video clips show the variety of gender, race, and different personal accessories that people carry or wear.
You can use PEViD dataset in your research without any conditions, as long as you clearly mention and acknowledge the following paper :
P. Korshunov and T. Ebrahimi, “PEViD: privacy evaluation video dataset”, In SPIE Applications of Digital Image Processing XXXVI, volume 8856, San Diego, California, USA, Aug. 2013.
You can download all video files and associated XML-based annotations from the following FTP (please use dedicated FTP clients, such as FileZilla or FireFTP):
FTP address: tremplin.epfl.ch
Username: [email protected]
FTP port: 21
Please see the readme.txt file inside the download folder for details about annotation format. You may also check the above paper for some other helpful information.
In case of any problems or questions, please send an email to [email protected]
Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute the data provided and its documentation for research purpose only. The data provided may not be commercially distributed. In no event shall the Ecole Polytechnique Fédérale de Lausanne (EPFL) be liable to any party for direct, indirect, special, incidental, or consequential damages arising out of the use of the data and its documentation. The Ecole Polytechnique Fédérale de Lausanne (EPFL) specifically disclaims any warranties. The data provided hereunder is on an “as is” basis and the Ecole Polytechnique Fédérale de Lausanne (EPFL) has no obligation to provide maintenance, support, updates, enhancements, or modifications.