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Detection of Aerobics Action Based on Convolutional Neural Network
2022
Computational Intelligence and Neuroscience
To further improve the accuracy of aerobics action detection, a method of aerobics action detection based on improving multiscale characteristics is proposed. In this method, based on faster R-CNN and aiming at the problems existing in faster R-CNN, the feature pyramid network (FPN) is used to extract aerobics action image features. So, the low-level semantic information in the images can be extracted, and it can be converted into high-resolution deep-level semantic information. Finally, the
doi:10.1155/2022/1857406
pmid:35035453
pmcid:PMC8754619
fatcat:txs5hjhuwncupj6jvssj2h2r7m