Laser & Optoelectronics Progress, Volume. 57, Issue 18, 181506(2020)
Human Action Recognition Algorithm Based on Spatio-Temporal Interactive Attention Model
Fig. 1. Framework of action recognition network based on spatio-temporal interactive attention model
Fig. 2. Local_Mask feature maps generated from UCF101 dataset. (a) Balance beam; (b) walking with dog
Fig. 3. Mask guided spatial attention model
Fig. 4. Optical flow guided temporal attention model
Fig. 5. Training and testing iteration curves of each algorithm on UCF101 dataset.(a) Proposed model; (b) proposed model with OGTAM;(c) proposed model with MGSAM;(d) proposed model with OGTAM+MGSAM
Fig. 6. Visualization results of proposed algorithm on different datasets. (a) UCF101; (b) Penn Action
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Na Pan, Min Jiang, Jun Kong. Human Action Recognition Algorithm Based on Spatio-Temporal Interactive Attention Model[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181506
Category: Machine Vision
Received: Dec. 23, 2019
Accepted: Feb. 14, 2020
Published Online: Sep. 2, 2020
The Author Email: Jiang Min (minjiang@jiangnan.edu.cn)