SAIVT-BuildingMonitoring

SAIVT-BuildingMonitoring

Overview

The SAIVT-BuildingMonitoring database contains footage from 12 cameras capturing a single work day at a busy university campus building. A portion of the database has been annotated for crowd counting and pedestrian throughput estimation, and is freely available for download. Contact Dr Simon Denman for more information.

Licensing

The SAIVT-BuildingMonitoring database is © 2015 QUT, and is licensed under the .

Attribution

To attribute this database, use the citation provided on our publication at : 

S. Denman, C. Fookes, D. Ryan, & S. Sridharan (2015) Large scale monitoring of crowds and building utilisation: A new database and distributed approach. In 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 25-28 August 2015, Karlsruhe, Germany.

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-BuildingMonitoring database for our research'.

Installing the SAIVT-BuildingMonitoring Database

Download, join, and unzip the following archives

Annotated Data

(2GB, md5sum: 50e63a6ee394751fad75dc43017710e8)
(2GB, md5sum: 49859f0046f0b15d4cf0cfafceb9e88f)
(2GB, md5sum: b3c7386204930bc9d8545c1f4eb0c972)
(2GB, md5sum: 4606fc090f6020b771f74d565fc73f6d)
 (632 MB, md5sum: 116aade568ccfeaefcdd07b5110b815a)

Full Sequences

(2 GB, md5sum: 068ed015e057afb98b404dd95dc8fbb3)
(2GB, md5sum: 763f46fc1251a2301cb63b697c881db2)
(2GB, md5sum: 75e7090c6035b0962e2b05a3a8e4c59e)
(2GB, md5sum: 34481b1e81e06310238d9ed3a57b25af)
(2GB, md5sum: 9ef895c2def141d712a557a6a72d3bcc)
(2GB, md5sum: 2a76e6b199dccae0113a8fd509bf8a04)
(2GB, md5sum: 77c659ab6002767cc13794aa1279f2dd)
(2GB, md5sum: 703f54f297b4c93e53c662c83e42372c)
(2GB, md5sum: 65ebdab38367cf22b057a8667b76068d)
(2GB, md5sum: bb5f6527f65760717cd819b826674d83)
 (2GB, md5sum: 01a562f7bd659fb9b81362c44838bfb1)
(2GB, md5sum: 5e4a0d4bb99cde17158c1f346bbbdad8)
 (2GB, md5sum: 9c454d9381a1c8a4e8dc68cfaeaf4622)
 (2GB, md5sum: 8ff2b03b22d0c9ca528544193599dc18)
 (2GB, md5sum: 86efac1962e2bef3afd3867f8dda1437)

To rejoin the invidual parts, use:

cat SAIVT-BuildingMonitoring-AnnotatedData.tar.gz.* > SAIVT-BuildingMonitoring-AnnotatedData.tar.gz

cat SAIVT-BuildingMonitoring-FullSequences.tar.gz.* > SAIVT-BuildingMonitoring-FullSequences.tar.gz

At this point, you should have the following data structure and the SAIVT-BuildingMonitoring database is installed:

SAIVT-BuildingMonitoring
+-- AnnotatedData
+-- P_Lev_4_Entry_Way_ip_107
+-- Frames
+-- Entry_ip107_00000.png
+-- Entry_ip107_00001.png
+-- ...
+-- GroundTruth.xml
+-- P_Lev_4_Entry_Way_ip_107-20140730-090000.avi
+-- perspectivemap.xml
+-- ROI.xml

+-- P_Lev_4_external_419_ip_52
+-- ...

+-- P_Lev_4_External_Lift_foyer_ip_70
+-- Frames
+-- Entry_ip107_00000.png
+-- Entry_ip107_00001.png
+-- ...
+-- GroundTruth.xml
+-- P_Lev_4_External_Lift_foyer_ip_70-20140730-090000.avi
+-- perspectivemap.xml
+-- ROI.xml
+-- VG-GroundTruth.xml
+-- VG-ROI.xml

+-- ...

+-- Calibration
+-- Lev4Entry_ip107.xml
+-- Lev4Ext_ip51.xml
+-- ...

+-- FullSequences
+-- P_Lev_4_Entry_Way_ip_107-20140730-090000.avi
+-- P_Lev_4_external_419_ip_52-20140730-090000.avi
+-- ...

+-- MotionSegmentation
+-- Lev4Entry_ip107.avi
+-- Lev4Entry_ip107-Full.avi
+-- Lev4Ext_ip51.avi
+-- Lev4Ext_ip51-Full.avi
+-- ...

+-- Denman 2015 - Large scale monitoring of crowds and building utilisation.pdf
+-- LICENSE.txt
+-- README.txt

Data is organised into two sections, AnnotatedData and FullSequences. Additional data that may be of use is provided in Calibration and MotionSegmentation.

AnnotatedData contains the two hour sections that have been annotated (from 11am to 1pm), alongside the ground truth and any other data generated during the annotation process. Each camera has a directory, the contents of which depends on what the camera has been annotated for.

All cameras will have:

a video file, such as "P_Lev_4_Entry_Way_ip_107-20140730-090000.avi", which is the 2 hour video from 11am to 1pm
a "Frames" directory, that has 120 frames taken at minute intervals from the sequence. There are the frames that have been annotated for crowd counting. Even if the camera has not been annotated for crowd counting (i.e. P_Lev_4_Main_Entry_ip_54), this directory is included.

The following files exist for crowd counting cameras:

"GroundTruth.xml", which contains the ground truth in the following format: 

....

The file contains a list of annotated frames, and the location of the approximate centre of mass of any people within the frame. The "interval-scale" attribute indicates the distance between the annotated frames in the original video.

"perspectivemap.xml", a file that defines the perspective map used to correct for perspective distortion. Parameters for a bilinear perspective map are included along with the original annotations that were used to generate the map.
"ROI.xml", which defines the region of interest as follows: