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Demo Codes For Action Recognition Based on Depth Motion Maps
by Chen Chen, The University of Texas at Dallas
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Reference
C. Chen, K. Liu, and N. Kehtarnavaz, "Real-Time Human Action Recognition Based on Depth Motion Maps," Journal of Real-Time Image Processing, to appear.
Please cite our work if you use the code.
For any problems, please send email to chenchen870713@gmail.com
Thanks!
===============================================================================
1. Test dataset: Microsoft Research (MSR) Action3D, which can be found here:
http://research.microsoft.com/en-us/um/people/zliu/actionrecorsrc/
20 action types, 10 subjects, each subject performs each action 2 or 3 times. There are 567 depth map sequences in total. The resolution is 320x240.
The depth sequences for each action are stored as MATLAB mat file, which is
a matrix of size 320x240x(number of depth frames).
2. Test_1And2_Fix.m: Samples for training and testing are chosen as FIXED order for test one and two.
3. Test_1And2_Random.m: Samples for training and testing are chosen as RANDOM
for test one and two.
4. Test_Cross_Fix.m: Subjects for training and testing are FIXED for cross subject test. Subject 1 3 5 7 9 as training subjects, the rest as testing subjects.
5. Test_Cross_Random.m: Subjects for training and testing are chosen as RANDOM.
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DMM.zip_kinect_kinect 人体_人体 动作_深度图像_深度图像 matlab (581个子文件)
Test_1And2_Fix.m 6KB
Test_1And2_Random.m 6KB
Test_Cross_Random.m 6KB
Test_Cross_Fix.m 5KB
Eigenface_f.m 1KB
confusion_matrix.m 1KB
depth_projection.m 1012B
L2_CRC.m 812B
bounding_box.m 474B
resize_feature.m 222B
AS1.Features.mat 4.85MB
AS2.Features.mat 4.61MB
a13_s09_e03_sdepth.mat 532KB
a04_s03_e01_sdepth.mat 215KB
a11_s08_e02_sdepth.mat 196KB
a11_s08_e03_sdepth.mat 189KB
a20_s07_e01_sdepth.mat 182KB
a11_s08_e01_sdepth.mat 171KB
a01_s08_e02_sdepth.mat 170KB
a05_s01_e02_sdepth.mat 169KB
a02_s08_e01_sdepth.mat 165KB
a18_s06_e03_sdepth.mat 160KB
a19_s04_e01_sdepth.mat 160KB
a01_s08_e03_sdepth.mat 158KB
a02_s08_e03_sdepth.mat 155KB
a12_s08_e03_sdepth.mat 154KB
a19_s08_e03_sdepth.mat 154KB
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a02_s08_e02_sdepth.mat 151KB
a01_s08_e01_sdepth.mat 149KB
a16_s08_e02_sdepth.mat 145KB
a17_s01_e03_sdepth.mat 144KB
a16_s08_e03_sdepth.mat 144KB
a20_s07_e03_sdepth.mat 142KB
a18_s03_e03_sdepth.mat 140KB
a20_s07_e02_sdepth.mat 139KB
a19_s01_e01_sdepth.mat 139KB
a20_s08_e02_sdepth.mat 138KB
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a18_s07_e03_sdepth.mat 137KB
a19_s08_e02_sdepth.mat 136KB
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a12_s08_e01_sdepth.mat 134KB
a16_s08_e01_sdepth.mat 133KB
a13_s08_e03_sdepth.mat 133KB
a18_s01_e03_sdepth.mat 132KB
a19_s03_e03_sdepth.mat 132KB
a13_s08_e02_sdepth.mat 132KB
a07_s06_e03_sdepth.mat 131KB
a18_s07_e01_sdepth.mat 130KB
a20_s01_e01_sdepth.mat 130KB
a19_s01_e02_sdepth.mat 128KB
a13_s02_e03_sdepth.mat 128KB
a13_s08_e01_sdepth.mat 127KB
a20_s09_e03_sdepth.mat 127KB
a20_s01_e03_sdepth.mat 127KB
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a19_s08_e01_sdepth.mat 127KB
a20_s02_e01_sdepth.mat 127KB
a17_s01_e02_sdepth.mat 126KB
a16_s05_e01_sdepth.mat 126KB
a17_s02_e01_sdepth.mat 126KB
a03_s06_e01_sdepth.mat 126KB
a04_s08_e01_sdepth.mat 125KB
a16_s06_e03_sdepth.mat 125KB
a19_s03_e02_sdepth.mat 125KB
a17_s02_e02_sdepth.mat 124KB
a02_s07_e01_sdepth.mat 124KB
a20_s09_e02_sdepth.mat 124KB
a05_s06_e02_sdepth.mat 123KB
a16_s02_e02_sdepth.mat 123KB
a18_s04_e02_sdepth.mat 123KB
a18_s04_e03_sdepth.mat 122KB
a19_s07_e03_sdepth.mat 122KB
a20_s02_e03_sdepth.mat 122KB
a18_s07_e02_sdepth.mat 121KB
a07_s08_e01_sdepth.mat 121KB
a07_s08_e03_sdepth.mat 121KB
a19_s06_e01_sdepth.mat 121KB
a12_s07_e03_sdepth.mat 120KB
a19_s06_e03_sdepth.mat 119KB
a19_s07_e01_sdepth.mat 119KB
a17_s08_e03_sdepth.mat 119KB
a16_s01_e03_sdepth.mat 119KB
a01_s01_e01_sdepth.mat 119KB
a01_s07_e01_sdepth.mat 119KB
a20_s06_e03_sdepth.mat 118KB
a15_s06_e02_sdepth.mat 118KB
a20_s06_e01_sdepth.mat 117KB
a01_s07_e02_sdepth.mat 117KB
a05_s06_e01_sdepth.mat 117KB
a18_s02_e01_sdepth.mat 116KB
a17_s04_e03_sdepth.mat 116KB
a19_s04_e02_sdepth.mat 116KB
a18_s04_e01_sdepth.mat 116KB
a18_s02_e03_sdepth.mat 116KB
a19_s01_e03_sdepth.mat 116KB
a18_s06_e02_sdepth.mat 116KB
a20_s09_e01_sdepth.mat 116KB
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