Deyong Gao, Zibing Kang, Song Wang, Yangping Wang. Human-Body Action Recognition Based on Dense Trajectories and Video Saliency[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241003
- Laser & Optoelectronics Progress
- Vol. 57, Issue 24, 241003 (2020)
Fig. 1. Saliency-based action recognition algorithm framework
Fig. 2. Dense trajectory algorithm framework
Fig. 3. Sample frames from UCF Sports and YouTube. (a) UCF Sports; (b) YouTube
Fig. 4. Estimation of saliency detection parameters
Fig. 5. Comparison of the DT and our method. (a) UCF Sports; (b) YouTube
Fig. 6. Accuracy comparison of each class by DT and our method. (a) UCF Sports; (b) YouTube
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Table 1. Experimental environment
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Table 2. Comparison of mean accuracy by DT and our method unit: %
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Table 3. Results comparison of our method and the state-of-the-art method unit: %
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