This
section presents a description of each category challenges with frame samples and ground-truth images
. Ground-truth images have
been generated manually by selecting a unique frame when the background is entirely visible in a temporal instant or by mixing different areas of different temporal instants.
The generated dataset contains 4 categories or challenges key to evaluate the Background Estimation with 10 sequences containing the challenge:
:
Clutter:
Low framerate:
We have grouped all the test sequences into three categories according to
a subjective estimation of the analysis complexity considering:
-
Baseline, containing simple sequences with low object density and no stationary objects, to evaluate the BE task in simple scenarios.
-
Clutter, containing sequences with high foreground motion and continuous background occlusions, situations where BE complexity is increased.
-
Low framerate, containing simple sequences recorded with low framerate to evaluate the impact of motion velocity in the BE task.
-
Static objects, containing stationary objects in the scene for more than and less than 50% and 100% of the video sequences duration, respectively.
In the following images the scenarios of all sequences from each category are presented through the ground-truth backgrounds.
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