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EURASIP Journal on Image and Video Processing

Table 6 EERs obtained from experiments on two additional datasets

From: Estimation of gait normality index based on point clouds through deep auto-encoder

Method

CMU

SFU

 

Frame

Sequence

Frame

Sequence

K-means [6]

–

0.133

–

0.474

Bayesian GMM [6]

–

0.133

–

0.231

One-class SVM [25]

–

0.400

–

0.356

Bayesian GMM [25]

–

0.267

–

0.350

Ours (leaky ReLU)

0.233

0.067

0.253

0.158

  1. The two methods [6, 25] are not adaptive to perform per-frame assessment
  2. The italic values indicate the best results
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