Dataset

SAIVT Soft Biometric Database (SAIVT-SoftBio)

Queensland University of Technology
Denman, Simon
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/09/588587e1c6b98&rft.title=SAIVT Soft Biometric Database (SAIVT-SoftBio)&rft.identifier=10.4225/09/588587e1c6b98&rft.publisher=Queensland University of Technology&rft.description=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 ( tags), the location of the calibration information ( tags), and the subjects themselves ( 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/) &rft.creator=Denman, Simon &rft.date=2016&rft.edition=1&rft.coverage=QUT GP Campus, Z Block foyer (level 4)&rft_rights=© Queensland University of Technology, 2012. &rft_rights=Creative Commons Attribution-Share Alike 3.0 (CC-BY-SA)&rft_subject=Soft Biometrics; Person Re-detection&rft.type=dataset&rft.language=English Access the data

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

© Queensland University of Technology, 2012.

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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'.

Contact Information

Postal Address:
Dr Simon Denman
Ph: 731389329

s.denman@qut.edu.au

Full description

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 ( tags), the location of the calibration information ( tags), and the subjects themselves ( 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/)

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Spatial Coverage And Location

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

Subjects

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