Laser & Optoelectronics Progress, Volume. 56, Issue 16, 161503(2019)
Analysis of Teachers' Actions Using Feature Dense Computation and Fusion Algorithm
Fig. 1. Schematic of TSDCFN structure. (a) Overall structure of TSDCFN; (b) structure of densely connected module (in which, w/o represents without)
Fig. 2. Spatiotemporal pyramid pooling model
Fig. 3. Scheme of spatiotemporal and non-local feature computation
Fig. 4. Relationship between recognition accuracy and Epoch No.
Fig. 5. Examples of recognition effects of action videos
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Xiaolong Zhang, Jianfei Liu, Luguo Hao. Analysis of Teachers' Actions Using Feature Dense Computation and Fusion Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161503
Category: Machine Vision
Received: Feb. 25, 2019
Accepted: Mar. 27, 2019
Published Online: Aug. 5, 2019
The Author Email: Liu Jianfei (jfliu@hebut.edu.cn)