Research Article

Human Action Recognition Algorithm Based on Improved ResNet and Skeletal Keypoints in Single Image

Table 3

Comparison of experimental results on different network models.

MethodRCNNAction maskRCNNWhole and PartsTDPOurs

Jumping91.386.791.584.796.493.6
Phoning77.172.284.467.884.790.5
Playing instrument91.19493.69196.796.8
Reading76.171.383.266.683.390.5
Riding horse96.795.496.996.699.498.4
Riding bike96.397.698.497.299.298.6
Running9288.593.890.291.994.2
Taking photo83.872.485.97685.390.1
Using computer85.988.492.683.493.994.5
Walking81.865.381.871.684.785.2
mAP8783.290.282.691.692.1