Wenqiang Zhang, Zengqiang Wang, Liang Zhang. Human Action Recognition Combining Sequential Dynamic Images and Two-Stream Convolutional Network[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210007
- Laser & Optoelectronics Progress
- Vol. 58, Issue 2, 0210007 (2021)
Fig. 1. Overall flow diagram of action representation
Fig. 2. Static video frames and corresponding timing dynamic diagrams. (a) Static images; (b) timing dynamic diagrams; (c) optical flow diagrams
Fig. 3. TS-CNN network framework
Fig. 4. Recognition results of different subsequence lengths
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Table 1. Recognition accuracy of UCF101 dataset with different input modes unit: %
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Table 2. Recognition accuracy of HMDB51 dataset with different input modes unit: %
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Table 3. Recognition accuracy of different fusion methods on dataset unit: %
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Table 4. Recognition accuracy of different network models on dataset unit: %
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Table 5. Recognition accuracy of different human behavior recognition models unit: %
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Table 6. Recognition accuracy of different algorithms unit: %
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