SAIVT-QUT Crowd Counting

SAIVT-QUT Crowd Counting Database

Overview

This database contains three sequences annotated for crowd counting, captured on a university campus. Sequences are sparsely annotated (every 100 or 200 frames) over the approximately 5,000 or 10,000 frame sequence duration. Annotation is local, in that the location of each individual person in the frames is provided. Annotation is also provided for the PETS 2006 and 2009 datasets (although please note that you will need to download these databases separately). Contact Dr Simon Denman for more information.

Licensing

The SAIVT-QUT Crowd Counting database is © 2012 QUT and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Australia License.

Attribution

To attribute this database, please include the following citation: Ryan, David, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton B. (2012) Scene invariant crowd counting and crowd occupancy analysis. In Video Analytics for Business Intelligence [Studies in Computational Intelligence, Volume 409]. Springer-Verlag, Germany, pp. 161-198. See the full paper on eprints.

Acknowleding the database in your 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-QUT Crowd Counting database for our research. If you use the annotation data for either the PETS2006 or PETS2009 databases, you should also cite/acknowledge these databases in the appropriate method as outlined by the database creators, in addition to citing and acknowledging this database as outlined above and in the LICENCE.txt file.

Installing the database

Acknowledging the Database in your Publications Installing the SAIVT-QUT Crowd Counting database Download and unzip the following archive: SAIVT_QUTCrowdCountingDatabase.tar.gz (933 MB). Upon downloading and unzipping the database, you should have the following directory structure:

SAIVT-QUTCrowdCountingDatabase
+--Datasets
+--PETS2006
+--PETS2009
+--QUT
+--Results
+--PETS2006
+--PETS2009
+--QUT
+-- LICENSE.txt
+-- README.txt
+-- Ryan2011 - Scene invariant crowd counting.pdf

+-- Ryan2012 - Scene invariant crowd counting and crowd occupancy analysis.pdf

The database is located in the 'Datasets/QUT' subdirectory. Calibration and ground truth annotation is included within this directory, as well as a clean background image and region of interest for each of the three sequences. Ground truth annotation for the PETS2006 and PETS2009 databases are contained within the 'Datasets/PETS2006' and 'Datasets/PETS2009' subdirectories. A summary of this follows:

Video

Calibration

ROI

Ground Truth
('dot' annotations)

Initial Background
Frame

PETS 2009
View 1

No (1)

Yes

Yes

Yes

Yes

PETS 2009
View 2

No (1)

Yes

Yes

Yes

Yes

PETS 2006
View 3

No (2)

Yes

Yes

Yes

No (3)

PETS 2006
View 4

No (2)

Yes

Yes

Yes

No (3)

Camera A
QUT

Yes

Yes

Yes

Yes

Yes

Camera B
QUT

Yes

Yes

Yes

Yes

Yes

Camera C
QUT

Yes

Yes

Yes

Yes

Yes

SAIVT-QUT 人群计数数据库

概览

本数据库收录了在大学校园环境中捕获的三个序列，针对人群计数进行了标注。序列标注较为稀疏（每100或200帧标注一次），覆盖了大约5,000或10,000帧的序列时长。标注内容为局部性标注，即提供了每帧中每个人的具体位置。此外，还为PETS 2006和2009数据集提供了标注（但请注意，您需要单独下载这些数据库）。如需更多信息，请联系Simon Denman博士。

许可协议

SAIVT-QUT 人群计数数据库由2012年昆士兰科技大学（QUT）版权所有，并遵循Creative Commons Attribution-ShareAlike 3.0澳大利亚许可协议。

归属

在使用本数据库时，请包含以下引用：Ryan, David, Denman, Simon, Sridharan, Sridha, & Fookes, Clinton B. (2012) 场景不变人群计数与人群占用分析. 见《视频分析与企业情报》[计算智能研究，第409卷]. 德国斯普林格出版社，第161-198页。完整论文可在eprints上查阅。

出版物中承认数据库

除引用我们的论文外，我们恳请在您出版物的致谢部分包含以下文本：我们感谢昆士兰科技大学（QUT）的SAIVT研究实验室无偿向我们提供SAIVT-QUT人群计数数据库，以支持我们的研究工作。如果您使用PETS2006或PETS2009数据库的标注数据，您还应按照数据库创建者所述的方式，在适当的位置引用和承认这些数据库，并按照上述以及LICENCE.txt文件中的说明引用和承认本数据库。

数据库安装

在出版物中承认数据库

下载并解压以下存档：SAIVT_QUTCrowdCountingDatabase.tar.gz（933 MB）。下载并解压数据库后，您应拥有以下目录结构：

SAIVT-QUTCrowdCountingDatabase
+- Datasets
+- PETS2006
+- PETS2009
+- QUT
+- Results
+- PETS2006
+- PETS2009
+- QUT
+- LICENSE.txt
+- README.txt
+- Ryan2011 - Scene invariant crowd counting.pdf
+- Ryan2012 - Scene invariant crowd counting and crowd occupancy analysis.pdf

数据库位于'Datasets/QUT'子目录中。校准和地面真实标注包含在此目录中，以及每个序列的干净背景图像和感兴趣区域。PETS2006和PETS2009数据库的地面真实标注包含在'Datasets/PETS2006'和'Datasets/PETS2009'子目录中。以下为总结：