Full description
SAIVT-DGD Database
Overview
Further information about the SAIVT-DGD database is available in our paper:
Sivapalan, Sabesan, Chen, Daniel, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton B. (2011) Gait energy volumes and frontal gait recognition using depth images. In "Proceeding of the International Joint Conference on Biometrics", Washington DC, USA, available at
Licensing
The SAIVT-DGD database is © 2012 QUT, and is licensed under the .
Attribution
To attribute this database, please include the following citation:
Sivapalan, Sabesan, Chen, Daniel, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton B. (2011) Gait energy volumes and frontal gait recognition using depth images. In "Proceeding of the International Joint Conference on Biometrics", Washington DC, USA, available at
Acknowledgement in publications
In addition to citing our paper, we kindly request that the following text be included in an acknowledgements section at the end of your publications:
'We would like to thank the SAIVT Research Labs at Queensland University of Technology (QUT) for freely supplying us with the SAIVT-DGD database for our research'.
Installing the SAIVT-BuildingMonitoring Database
Download and unzip the following archives in the same directory:
- (1.6M, md5sum: da3916615b109557d5975aad9263e4a2)
- (957M, md5sum: ee25e12ed96356a516179859a9677455)
- (1.1G, md5sum: a80c3b5c5ce22a00709548486911dc9f)
- (1.7G, md5sum: e7261b6860c745f92c48fac0d900b983)
- (264M, md5sum: 7d297af6affa7342ea1b77442ca477e4)
- (725M, md5sum: 99bc5b9dbf2a56474568115b257e274b)
At this point, you should have the following data structure and the SAIVT-DGD database is installed:
SAIVT-DGD +--DGD +--depth_raw +--depth_silhouette +--volume +--docs
The database itself is located in the DGD sub directory. Documentation on the database, including calibration information and a copy of our paper is included in the docs sub directory.
Spatial Coverage And Location
text: SAIVT Lab, QUT Gardens Point Campus.
User Contributed Tags
Login to tag this record with meaningful keywords to make it easier to discover
- DOI : 10.4225/09/58535B0568839
- Local : 10378.3/8085/1018.16523