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README
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============================================================
Penn Action Dataset
============================================================
Penn Action Dataset contains 2326 video sequences of 15
different actions and human joint annotations for each
sequence. The dataset is available for download via the
following link:
https://www.cis.upenn.edu/~kostas/Penn_Action.tar.gz
------------------------------------------------------------
Reference
------------------------------------------------------------
If you use our dataset, please cite the following paper:
Weiyu Zhang, Menglong Zhu and Konstantinos Derpanis, "From
Actemes to Action: A Strongly-supervised Representation for
Detailed Action Understanding" International Conference on
Computer Vision (ICCV). Dec 2013.
------------------------------------------------------------
Dataset Content
------------------------------------------------------------
The dataset is organized in the following format:
/frames ( all image sequences )
/0001
000001.jpg
000002.jpg
...
/0002
...
/labels ( all annotations )
0001.mat
0002.mat
...
/tools ( visualization scripts )
visualize.m
...
The image frames are located in the /frames folder. All
frames are in RGB. The resolution of the frames are within
the size of 640x480.
The annotations are in the /labels folder. The sequence
annotations include class label, coarse viewpoint, human
body joints (2D locations and visibility), 2D bounding
boxes, and training/testing label. Each annotation is a
separate MATLAB .mat file under /labels.
An example annotation looks as follows in MATLAB:
annotation =
action: 'tennis_serve'
pose: 'back'
x: [46x13 double]
y: [46x13 double]
visibility: [46x13 logical]
train: 1
bbox: [46x4 double]
dimensions: [272 481 46]
nframes: 46
------------------------------------------------------------
List of Actions
------------------------------------------------------------
baseball_pitch clean_and_jerk pull_ups strumming_guitar
baseball_swing golf_swing push_ups tennis_forehand
bench_press jumping_jacks sit_ups tennis_serve
bowling jump_rope squats
------------------------------------------------------------
Annotation Tools
------------------------------------------------------------
The annotation tool used in creating this dataset is also
available. Please refer to http://dreamdragon.github.io/vatic/
for more details.
------------------------------------------------------------
Contact
------------------------------------------------------------
Please direct any questions regarding the dataset to
Kosta Derpanis <[email protected]>
Kostas Daniilidis <[email protected]>