Dataset

Surveillance footage for activity analysis in complicated scenes

Queensland University of Technology
Dr Simon Denman (Aggregated by) Jingxin Xu (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/09/5885a356bfbb2&rft.title=Surveillance footage for activity analysis in complicated scenes&rft.identifier=10.4225/09/5885a356bfbb2&rft.publisher=Queensland University of Technology&rft.description=This dataset, the SAIVT-Campus Database is an abnormal event detection database captured at the Queensland University of Technology, Australia. It contains two video files from real world surveillance footage without any actors. Each video file is one hour in duration. The normal activities include pedestrians entering or exiting the building, entering or exiting a lecture theatre (yellow door), and going to the counter at the bottom right. The abnormal events are caused by a heavy rain outside, and include people running in from the rain, people walking towards the door to exit and turning back, wearing raincoats, loitering and standing near the door and overcrowded scenes. The rain happens only in the later part of the test dataset. As a result, we assume that the training dataset only contains the normal activities. &rft.creator=Xu, Jingxin &rft.creator=Denman, Simon &rft.creator=Fookes, Clinton &rft.creator=Sridharan, Sridha &rft.date=2014&rft.edition=1&rft.coverage=153.025013,-27.476409&rft_rights=© Queensland University of Technology, 2012&rft_rights=Creative Commons Attribution-Share Alike 3.0 http://creativecommons.org/licenses/by-sa/3.0/au/&rft_subject=Abnormal Event&rft_subject=Complicated Scenes&rft_subject=Campus&rft_subject=Dft Coefficients&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY-SA

Creative Commons Attribution-Share Alike 3.0
http://creativecommons.org/licenses/by-sa/3.0/au/

© Queensland University of Technology, 2012

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Other

Contact Information

Postal Address:
Jingxin Xu

j15.xu@qut.edu.au

Full description

This dataset, the SAIVT-Campus Database is an abnormal event detection database captured at the Queensland University of Technology, Australia. It contains two video files from real world surveillance footage without any actors. Each video file is one hour in duration. The normal activities include pedestrians entering or exiting the building, entering or exiting a lecture theatre (yellow door), and going to the counter at the bottom right. The abnormal events are caused by a heavy rain outside, and include people running in from the rain, people walking towards the door to exit and turning back, wearing raincoats, loitering and standing near the door and overcrowded scenes. The rain happens only in the later part of the test dataset. As a result, we assume that the training dataset only contains the normal activities.

Data time period: 2012 to 31 12 2013

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153.025013,-27.476409

153.025013,-27.476409

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