section presents, via the left menu, a description of the test
sequences for each category along with frame samples, low
resolution previews and the event annotations.
The dataset consists
on two sets of annotations of the foreground binary masks of the
abandoned and stolen objects. The first one has been obtained by
manually annotating the objects of interest in the video sequence
(annotated data). The second one represents real data has been obtained
by running  over the test sequences and represents unaccurate masks
have grouped all the test sequences into three categories according to
a subjective estimation of the background complexity that consists on
the presence of edges, multiple textures, lighting changes,
reflections, shadows and objects belonging to the background.
Currently, three categories have been defined considering Low (C1),
medium (C2) and High (C3) background complexity.
frames of such categories are shown in the following images
summary of the annotated events in the dataset
and the associated complexity of each category is available in the
 J.C. SanMiguel
and J.M. Martínez, "Robust unattended and stolen object
detection by fusing simple algorithms", Proc. of IEEE Int. Conf. on
Advanced Video and Signal based Surveillance, AVSS2011, SantaFe (NM,
USA), pp. 18-25.