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Instruction for Treadmill Dataset D (2010/09/21)
Yagi laboratory, Department of Intelligent Media
The Institute of Scientific and Industrial Research, Osaka University
http://www.am.sanken.osaka-u.ac.jp/index.html
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1. Contents
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The Treadmill Dataset D is composed of 185 subjects with small and large gait fluctuations among periods. The directory structure is as follows.

TreadmillDatasetD
 -(5-digits subject ID)M40000(1-digits flag for gallery: 0 and probe: 1)/(8-digits image ID).png

e.g.
Gallery
./TreadmillDatasetD/00001M400000/00000001.png
Probe
./TreadmillDatasetD/00001M400001/00000001.png

The number of frames for each sequence is 360.


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2. Data specification
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Gait flctuations are measured by Normalized AutoCorrelation (NAC) for the temporal axis of size-normalized gait silhouette images. DB_{high} contains 100 subjects with the highest NACs (small fluctuations) and DB_{low} contains also 100 subjects with the lowest NACs (large fluctuations), which are listed as follows.


-DB_{high}-

Subject ID,NAC
--------------
00001,0.960403
00104,0.957609
00351,0.956348
00098,0.955112
00320,0.954134
00082,0.953665
00156,0.953466
00233,0.953188
00115,0.952637
00197,0.952392
00217,0.952386
00120,0.952123
00338,0.951216
00107,0.951109
00190,0.950715
00089,0.950193
00007,0.949242
00087,0.949135
00229,0.948924
00218,0.948906
00086,0.948597
00312,0.948021
00122,0.946367
00315,0.946365
00097,0.945616
00234,0.945469
00309,0.945408
00093,0.944991
00106,0.944984
00152,0.944857
00183,0.944643
00161,0.943655
00110,0.94297
00055,0.942958
00092,0.942312
00081,0.941523
00123,0.941359
00353,0.940892
00157,0.940812
00176,0.940525
00164,0.939948
00076,0.939355
00095,0.939294
00169,0.938549
00085,0.938012
00311,0.937441
00352,0.937122
00155,0.937076
00117,0.936634
00153,0.936418
00084,0.936253
00078,0.936205
00219,0.936061
00171,0.935999
00090,0.935777
00177,0.934881
00243,0.9347
00318,0.934405
00306,0.934388
00101,0.934362
00094,0.934288
00212,0.93396
00181,0.933955
00112,0.933769
00047,0.933308
00124,0.933194
00111,0.933109
00206,0.933004
00083,0.932241
00202,0.932198
00126,0.932088
00121,0.931897
00079,0.931857
00215,0.931748
00114,0.931747
00230,0.931535
00199,0.93088
00321,0.930522
00154,0.9305
00109,0.930458
00196,0.930308
00231,0.930189
00307,0.92944
00174,0.92893
00226,0.928905
00195,0.928239
00119,0.928218
00091,0.928082
00178,0.927194
00160,0.927043
00127,0.926978
00058,0.926892
00158,0.926435
00129,0.926341
00088,0.926059
00354,0.925498
00003,0.925242
00162,0.924883
00170,0.924542
00175,0.924497


-DB_{low}-

Subject ID,NAC
--------------
00200,0.821725
00063,0.835915
00254,0.83948
00214,0.840043
00205,0.847748
00245,0.849302
00222,0.853987
00179,0.856723
00198,0.859264
00068,0.863579
00131,0.866073
00180,0.867834
00108,0.872112
00194,0.873917
00191,0.876718
00213,0.882287
00159,0.882895
00201,0.883203
00203,0.885946
00080,0.886829
00216,0.887462
00244,0.890575
00235,0.891844
00185,0.89363
00125,0.89378
00232,0.894377
00073,0.896975
00221,0.897989
00074,0.898397
00224,0.898481
00252,0.89891
00310,0.898974
00184,0.899238
00220,0.899538
00241,0.90089
00211,0.901453
00228,0.901566
00186,0.903315
00163,0.904261
00239,0.904815
00238,0.906226
00116,0.906839
00173,0.907054
00227,0.907316
00223,0.907332
00182,0.907507
00209,0.907802
00168,0.908325
00188,0.908464
00166,0.908616
00187,0.908843
00172,0.909596
00240,0.910118
00204,0.910427
00128,0.910529
00350,0.911045
00316,0.911627
00056,0.911694
00005,0.91173
00002,0.91254
00077,0.912623
00237,0.913791
00099,0.914328
00102,0.915041
00308,0.916065
00100,0.916652
00189,0.916853
00193,0.91772
00167,0.918096
00242,0.918233
00130,0.918372
00025,0.918532
00105,0.919062
00113,0.919959
00210,0.920358
00225,0.920432
00103,0.920769
00118,0.921389
00208,0.921595
00165,0.92196
00096,0.92267
00207,0.922866
00317,0.923133
00319,0.923298
00075,0.924062
00175,0.924497
00170,0.924542
00162,0.924883
00003,0.925242
00354,0.925498
00088,0.926059
00129,0.926341
00158,0.926435
00058,0.926892
00127,0.926978
00160,0.927043
00178,0.927194
00091,0.928082
00119,0.928218
00195,0.928239