Laser & Optoelectronics Progress, Volume. 57, Issue 2, 21004(2020)
Human Action Recognition Based on Global and Local Features
Figures & Tables(5)
Fig. 4. Recognition accuracies of proposed algorithm in different datasets. (a) Confusion matrix on KTH dataset; (b) confusion matrix on UCF Sports dataset; (c) confusion matrix on SBU Kinect Interaction dataset
Table 1. Recognition accuracies of different methods
View tableTable 1. Recognition accuracies of different methods
Method η on KTH /% Method η on UCF sports /% Method η on SBU Kinect Interaction /% Method in Ref. [16] 95.6 Ref. [16] 88.5 Ref. [15] 80.3 Method in Ref. [17] 95.6 Ref. [18] 92.7 Ref. [22] 89.4 Method in Ref. [18] Method in Ref. [19] Proposed method 96.8 97.8 96.7 Ref. [20] Ref. [21] Proposed 95.8 97.5 94.4 Ref. [23] Ref. [24] Proposed 94.8 98.5 90.8
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Liu Fan, Yu Fengqin. Human Action Recognition Based on Global and Local Features[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21004
Paper Information
Category: Image Processing
Received: May. 5, 2019
Accepted: --
Published Online: Jan. 3, 2020
The Author Email: Liu Fan (977216218@qq.com)
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