PETS2001 Datasets

Dataset

The image sequences (and corresonding images) for PETS'2001 may be obtained from ftp://pets2001.cs.rdg.ac.uk/ Or alternatively access the FTP site anonymously in the usual way, i.e.:

 ftp pets2001.cs.rdg.ac.uk
 Name: ftp
 Password: <SEND YOUR E-MAIL ADDRESS AS PASSWORD>
 ftp> binary
 ftp> prompt
 ftp> cd DATASET1/TESTING/CAMERA1_JPEGS ... mget * etc

Note that it is crucial to employ "binary" transfer.

Note: there appears to be some problems accessing the ftp site using Netscape. If you are having problems, please try using Internet Explorer instead, or access via direct ftp as shown above.

Important instructions are given at the bottom of this page on processing the datasets - please read these carefully.

If you would like the dataset to be sent to you (CDROM format) please complete the form below. Please note that the main route for download is via ftp://pets.rdg.ac.uk/PETS2001/ which is hosted on a dedicated high-bandwidth RAID server. Please complete the form below only if you are unable to download via ftp

Your name: 
Your e-mail address: 
Address: 

Note that due to the quantity of data involved, only datasets 1 and 2 will be sent to you by default.  However, the whole set of data is available via the ftp site.



PETS'2001 consists of five separate sets of training and test sequences, i.e. each set consists of one training sequence and one test sequence.

All the datasets are multi-view (2 cameras) and are significantly more challenging than for PETS'2000 in terms of significant lighting variation, occlusion, scene activity and use of multi-view data.

The annotation (ground truth) for the datasets is available here.

Dataset 1 (training = 3064 frames, testing = 2688 frames): Moving people and vehicles.  The camera calibration may be found here.
Dataset 1, test sequence, camera 1, frame 894Dataset 1, test sequence, camera 2, frame 894

Dataset 2 (training = 2989 frames, testing = 2823 frames): Moving people and vehicles.  The camera calibration may be found here.
Dataset 2, test sequence, camera 1, frame 1845Dataset 2, test sequence, camera 2, frame 1845

Dataset 3 (training = 5563 frames, testing = 5336 frames): Moving people. This is a more challenging sequence in terms of multiple targets and significant lighting variation.  The camera calibration may be found here.
Dataset 3 training sequence, camera 1, frame 5002Dataset 3 training sequence, camera 2, frame 5002

Dataset 4 (training = 6789 frames, testing = 5010 frames): Moving people and vehicles (catadioptric vision) - one narrow field of view, one panoramic.  The camera calibration may be found here.
Dataset 4 test sequence, camera 1, frame 2411Dataset 4 test sequence, camera 2, frame 2411

Dataset 5 (training = 2866 frames, testing = 2867 frames): Moving vehicle (forward and rear views).  The camera calibration may be found here.
Dataset 5, test sequence, camera 1, frame 560Dataset 5, test sequence, camera 2, frame 560

For each dataset


The annotation (ground truth) for the datasets is available here.
 

VERY IMPORTANT INFORMATION

The tracking results that you report in your paper submission

The tracking can be performed on the entire test sequence, or a portion of it. The images may be converted to any other format as appropriate, e.g. subsampled to half-PAL, or converted to monochrome. All results reported in the paper should clearly indicate which part of the test sequence is used, ideally with reference to frame numbers where appropriate.

The tracking results must be submitted along with the paper, with the tracking results generated in XML format.  This will be straightforward and should not add a significant overhead to your effort. The results you provide will be used to perform automatic performance evaluation.

The paper that you submit may be based on previously published tracking methods/algorithms (including papers submitted to the main CVPR conference).  The importance is that your paper MUST report results on tracking using the datasets supplied.

The recommendation is that:

If you have any queries please email pets2001@visualsurveillance.org.