Using a Selective Ensemble Support Vector Machine to Fuse Multimodal Features for Human Action Recognition

Table 5

The comparison results between the proposed method and other machine learning methods.

Dataset	Descriptor	SESVM (%)	Boosting (%)	Bagging (%)	SVM (%)	ANNs (%)
G3D	RGB-HOG	83.7	83.2	75.2	80.2	74.2
	DMM-LBP	83.2	82.4	79.4	83.4	80.2
	HJF	83.7	84.0	80.5	83.6	74.4
	Mixed features	91.7	89.5	83.2	87.7	82.4
CAD60	RGB-HOG	85.3	87.3	80.0	82.0	76.2
	DMM-LBP	86.0	87.4	79.2	84.3	80.5
	HJF	88.6	89.2	80.2	84.4	74.2
	Mixed features	91.8	89.1	83.3	87.6	82.2