YouTube
Celebrities Face Tracking and Recognition
Dataset
This dataset is released as a part of the work described in
Kim, M., Kumar, S., Pavlovic, V.
& Rowley, H. (2008), "Face Tracking and Recognition
with Visual Constraints in Real-World Videos", In IEEE
Conf. Computer Vision and Pattern Recognition.
Anchorage, AK. June 2008.
Please reference the above paper if you use this set in
your work.
More details about this work, including demonstration videos, can be found
on our Face Project page.
Description
The data consists of two parts: (1) video clips and (2)
initialization data.
Video Clips
The dataset contains 1910 sequences of 47 subjects. All
videos are encoded in MPEG4 at 25fps rate. The filenames
conform to the following convention:
aaaa_bb_ccc_name.avi
where
aaaa - unique sequence ID
bb - subject clip ID
ccc - video segment ID
name - name of the subject
For example, "1906_03_007_vladimir_putin.avi" means
sequence ID 1906, clip 03 (out of 3 clips from the same
subject), 7th segment from the 3rd clip, and subject
Vladimir Putin.
Initialization
For each video, this MATLAB file contains initial frame
face bounding boxes, manually marked, represented as an
affine parameter vector. The 6-dim vector contains (pos-x,
pos-y, scale, rot, *,*). The last two parameters are
related to a skew transform and can be ignored.
Download
The tar file of video clips can be downloaded from here. Note that this file is about
885MB in size. Initial parameters (2MB) can be
downloaded from here.