MMSPG Mini-drone video dataset

Author: EPFL

Partner: Yes

Contact: Pavel Korshunov (pavel.korshunov@epfl.ch)

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Total: 38

Resolution: HD (1920x1080)

Description

The created dataset consists of 38 different contents captured in full HD resolution, with a duration of 16 to 24 seconds each, shot with the mini-drone Phantom 2 Vision+ in a parking lot. The dataset contents can be clustered in three categories: normal, suspicious, and illicit behaviors. Normal content depicts people walking, getting in their cars and parking their vehicles. In suspicious content, nothing a priori wrong happens but people act in a questionable way. Contents with illicit behaviors show people mis-parking their vehicles, stealing items and cars, or fighting. All participants read and signed a consent form, stating they agree to appear with their vehicles in the video. Drone-based surveillance is particularly advantageous when it is not possible to set up a full-fledged surveillance system, for example, when a temporary major event such as a concert or a marathon is organized. Mini-drones can be used for monitoring the area, helping in managing parking spaces, controlling crowds and reporting useful information such as suspicious behaviors, mis-parked cars, number of free parking spots, etc.

Access

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 User name: minidrone@grebvm2.epfl.ch Password: IH)cJ9c81*1H74kv

License

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.

References and Citation

You can use Mini-drone dataset in your research without any conditions, as long as you clearly mention and acknowledge the following paper [BKR15].

References

  • BKR15: M. Bonetto, P. Korshunov, G. Ramponi, and T. Ebrahimi. Privacy in Mini-drone Based Video Surveillance. Workshop on De-identification for privacy protection in multimedia, Ljubljana, Slovenia, 2015.