EURASIP Journal on Image and Video Processing

Table 9 Recognition results on Weizmann dataset

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

Method	Algorithm		Measures
Method	FS	WFS	PPV (%)	AUC	FNR (%)	RR (%)
W-KNN	✓		91.96	0.993	7.20	92.80
W-KNN		✓	86.10	0.980	11.1	88.90
SDA	✓		82.70	0.984	15.80	84.20
SDA		✓	60.10	0.920	38.80	61.20
LR	✓		71.70	0.933	26.10	73.90
LR		✓	61.70	0.931	37.1	62.90
M-class SVM	✓		95.30	0.973	4.20	95.80
M-class SVM		✓	91.20	0.983	7.9	92.10

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