2017-01-23T14:36:41 n27416

SAIVT Soft Biometric Database (SAIVT-SoftBio)

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SAIVT Soft Biometric Database

Overview

The SAIVT-SoftBio database contains a collection of multi-camera sequences of 152 pedestrians captured from a set of 8 surveillance cameras. This database provides a challenging and realistic test-bed for person redetection tasks, and is freely available for download. Contact Dr Simon Denman (s dot denman at qut dot edu dot au) for more information.

Licensing

The SAIVT-SOFTBIO database is © 2012 QUT and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Australia License (http://creativecommons.org/licenses/by-sa/3.0/).

Attribution

To attribute this database, use the citation provided on our publication at [eprints] (http://eprints.qut.edu.au/53437/).

Acknowledgement in publications

In addition to citing our paper, we request the following text be included in your publications:
'We would like to thank the SAIVT Research Labs at Queensland University of Technology (QUT) for freely supplying us with the SAIVT-SoftBio database for our research'.

Installing the SAIVT-SoftBio Database

Download, join, and unpack the four files (and optionally the motion segmentation masks).

Once the main archive has been uboacked, you should have the following data structure and the SAIVT-SoftBio database is installed:
 

​SAIVT-SoftBio
+-- Calibration
   +-- C1--U1-17
   +-- C2--U18-48
   ...
   +-- C10--U140-152
+-- Uncontrolled
   +-- Subject001
   +-- Subject002
   +-- Subject003
   ...
   +-- Subject152
+-- Bialkowski2012 - A database for person re-identification in multi-camera surveillance networks.pdf
+-- LICENSE.txt
+-- README.txt
+-- SAIVTSoftBioDatabase.xml


The 'Calibration' directory contains a camera calibration and background images (one image per camera) for the dataset. It is arranged into groups of subjects (i.e. C1--U1-17 contains camera calibration and background images valid for subjects 1 to 17). All camera calibration has been calculated using Tsai's method.
The 'Uncontrolled' directory contains the image sequences for each subject, arranged by camera view.

The 'SAIVTSoftBioDatabase.xml' file defines the database. This file specifies the number of cameras used and number of calibrations present, the regions of interest for each camera (<camera> tags), the location of the calibration information (<calibration> tags), and the subjects themselves (<uncontrolledsubject> tags). Note that for each subject, a camera calibration is specified.

More information on the SAIVT-SOFTBIO database in our paper at QUT eprints (http://eprints.qut.edu.au/53437/)

Access rights

This data is freely available for download. Contact Dr Simon Denman for more information. In addition to citing our paper, we request the following text be included in your publications: 'We would like to thank the SAIVT Research Labs at Queensland University of Technology (QUT) for freely supplying us with the SAIVT-SoftBio database for our research'.

Geographical area of data collection

text
QUT GP Campus, Z Block foyer (level 4)

Publications

Bialkowski, Alina, Denman, Simon, Lucey, Patrick, Sridharan, Sridha, & Fookes, Clinton B. (2012) A database for person re-identification in multi-camera surveillance networks. In Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA 12), IEEE, Esplanade Hotel, Fremantle, WA, pp. 1-8. http://dx.doi.org/10.1109/DICTA.2012.6411689

Research areas

Soft Biometrics; Person Re-detection

Cite this collection

Denman,Simon. (2016): SAIVT Soft Biometric Database (SAIVT-SoftBio). [Queensland University of Technology]. https://doi.org/10.4225/09/588587e1c6b98

Related information

Bialkowski, Alina, Denman, Simon, Lucey, Patrick, Sridharan, Sridha, & Fookes, Clinton B. (2012) A database for person re-identification in multi-camera surveillance networks. In Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA 12), IEEE, Esplanade Hotel, Fremantle, WA, pp. 1-8. http://eprints.qut.edu.au/53437/

Licence

Creative Commons Attribution-Share Alike 3.0 (CC-BY-SA)

Copyright

©2012 QUT

Connections

Contacts

Name: Dr Simon Denman
Phone: 731389329

Other

Date record created:
2016-06-24T10:52:47
Date record modified:
2017-01-23T14:36:41
Record status:
Published - Open Access