Video dataset.

We have grouped all the test sequences into different complexity categories depending on two aspects:

• People classification complexity, defined as the difficulty to classify moving and temporally stationary people in a scenario. It is related with the number of pedestrians, their velocity, partial occlusions and pose variations.

• Background complexity, defined as the difficulty to extract the foreground due to the presence of edges, multiple textures, lighting changes, reflections, shadows and objects belonging to the background.

A description of complexity levels of the associated content is shown in Table:

Sequences have been extracted from public datasets related with the people detection/object classification task. They are:

1) PETS2006: 2 sequences. PETS_S1-S2.

2) WCAM: 2 sequences. WCAM_S1-S2.

3) VISOR: 5 sequences. VISOR_S1-S5.

4) CVSG: 18 sequences. CVSG_S1-S15.

5) The well known “hall monitor” sequence: 1 sequence. hall_monitor.

6) AVSS2007: 1 sequence. AVSS_S1.

7) TRECVID2008: 61 sequences. TRECVID_DEV08_S1-S61. (New content, March 2011)

Finally our video dataset stores 90 (29+61) video sequences manually annotated. (New content, March 2011)