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Table 14 Comparison of recognition results

From: A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection

Weizmann dataset

Method

Year

Recognition (%)

[53]

2013

95.45

[54]

2014

95.56

[55]

2015

95.10

[56]

2016

88.10

Proposed

2017

95.80

KTH Dataset

[57]

2014

95.0

[52]

2014

95.21

[58]

2015

96.50

[59]

2016

97.10

[60]

2017

94.92

Proposed

2017

99.30

UIUC Dataset

[61]

2012

98.84

[62]

2013

98.10

[63]

2014

98.30

[64]

2015

98.87

Proposed

2017

99.0

Muhavi

[65]

2015

99.26

[66]

2016

96.36

[67]

2017

93.75

Proposed

2017

99.40