Human Action Recognition Based on Discriminative Collaborative Representation Classifier

Zan Baofeng; Kong Jun; Jiang Min

doi:10.3788/LOP55.011010

Journals >Laser & Optoelectronics Progress >Volume 55 >Issue 1 >Page 11010 > Article

Laser & Optoelectronics Progress
Vol. 55, Issue 1, 11010 (2018)

Human Action Recognition Based on Discriminative Collaborative Representation Classifier

Zan Baofeng^1、*, Kong Jun^1、2, and Jiang Min¹

Author Affiliations

¹School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China

²College of Electrical Engineering, Xinjiang University, Urumqi, Xinjiang 830047, China

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DOI: 10.3788/LOP55.011010 Cite this Article Set citation alerts

Zan Baofeng, Kong Jun, Jiang Min. Human Action Recognition Based on Discriminative Collaborative Representation Classifier[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11010 Copy Citation Text

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Fig. 1. Illustration of DCRC

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Fig. 2. Confusion matrix of DMMs+CRC (a) and DMMs+DCRC (b) on MSR Action 3D dataset

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Fig. 3. Confusion matrix of DMMs+CRC (a) and DMMs+DCRC (b) on UTD-MHAD dataset

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Test	Subset	Ref.[6]method	Ref.[7]method	Ref.[13]method	Ref.[14]method	Ref.[15]method	Proposedmethod
Test 1	AS1	97.3	97.3	89.5	98.2	94.7	98.0
	AS2	92.2	96.1	89.0	94.8	95.4	96.7
	AS3	98.0	98.7	96.3	97.4	97.3	96.7
	Average	95.8	97.4	91.6	96.8	95.8	97.2
Test 2	AS1	98.7	98.6	93.4	99.1	97.3	100
	AS2	94.7	98.7	92.9	97.0	98.7	100
	AS3	98.7	100	96.3	98.7	97.3	100
	Average	97.4	99.1	94.2	98.3	97.8	100
Test 3	AS1	96.2	96.2	72.9	84.7	74.5	97.1
	AS2	84.1	83.2	71.9	81.3	76.1	83.2
	AS3	94.6	92.0	79.2	88.4	96.4	92.9
	Average	91.6	90.5	74.7	84.8	82.3	91.1

Table 1. Recognition rates of different methods on MSR Action 3D dataset%

Subset	Test 1		Test 2		Test 3
Subset	Recognitionrate /%	Standarddeviation	Recognitionrate /%	Standarddeviation	Recognitionrate /%	Standarddeviation
AS1	97.6	0.8	98.8	1.1	80.0	3.2
AS2	96.8	1.0	98.4	1.2	70.0	4.0
AS3	97.1	1.0	98.9	0.9	90.0	3.4
Average	97.2	0.9	98.7	1.1	80.0	3.5

Table 2. Average recognition rates and its standard deviation of MSR Action 3D dataset on test 4

Classifier	Recognition rate /%
PRF-SVM	85.50
SRC	86.01
L2-CRC	86.23
DCRC	90.01

Table 3. Recognition rates of different classifier on MSR Action 3D dataset with DMMs features

Method	Recognition rate /%
Ref.[6] method	85.52
Ref.[16] method	88.89
Ref.[17] method	88.80
Ref.[18] method	89.45
Ref.[19] method	89.86
Proposed method	90.19

Table 4. Recognition rates of different methods on MSR Action 3D dataset

Method	Recognition rate /%
Ref.[20] method	66.10
Proposed method	70.37

Table 5. Recognition rate of different methods on UTD-MHAD dataset

Zan Baofeng, Kong Jun, Jiang Min. Human Action Recognition Based on Discriminative Collaborative Representation Classifier[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11010

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