A motion classification method based on simple loop network and attention mechanism of joint space-time is proposed
A simple cycle and classification method technology, applied in the field of pattern recognition, can solve the problems of long training time, timing-dependent calculation, and more time-consuming, etc., and achieve the effect of improving accuracy and accuracy
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[0018] The following describes in detail the action classification method based on joint spatio-temporal simple loop network and attention mechanism of the present invention in conjunction with the accompanying drawings. figure 1 for the implementation flow chart.
[0019] Such as figure 1 , the implementation of the method of the present invention mainly comprises three steps: (1) extract feature from the articulation point data that represents action with deep learning method; (2) input the feature that extracts in step (1) to two-layer ST-SRU model (3) Use the output of the ST-SRU in step (2) to update the state of the global context memory unit, and play a gating role in the inflow of information into the ST-SRU of the second layer in step (2). , when the iterative update process of the attention model ends, the final classification result is obtained.
[0020] Each step will be described in detail below one by one.
[0021] Step 1: Extract features from joint point dat...
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