宾夕法尼亚动作数据集-麻将胡了pg电子网站

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所属分类: 综合数据 标签: (无)
来源: moonapi
更新时间: 2023-12-04 最新数据时间: 自动更新
数据集简介:

数据集介绍:penn action dataset(宾夕法尼亚大学)包含 15 个不同动作的 2326 个视频序列以及每个序列的人类联合注释。referenceif you use our dataset, please cite the following paper:weiyu zhang, menglong zhu and konstantinos derpanis, "from actem

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宾夕法尼亚动作数据集简介

数据集介绍:

penn action dataset(宾夕法尼亚大学)包含 15 个不同动作的 2326 个视频序列以及每个序列的人类联合注释。

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

list of annotated joints

1. head
2. left_shoulder 3. right_shoulder
4. left_elbow 5. right_elbow
6. left_wrist 7. right_wrist
8. left_hip 9. right_hip
10. left_knee 11. right_knee
12. left_ankle 13. right_ankle
ntu rgb d" dataset and “ntu rgb d 120” datasetthis page introduces two datasets: “ntu rgb d” and "ntu rgb d 120.数据很多,对动作的分类十分仔细的数据集,可以用来进行动作识别,里面含有3d骨骼数据网址: datasets/actionr sbu kinect interaction双人交互数据集,有/无噪音数据.
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