Application of human body gesture recognition algorithm based on deep learning in non-contact human body measurement
Journal of Ambient Intelligence and Humanized Computing - Trang 1-11 - 2020
Tóm tắt
For image-based non-contact anthropometrics, a multi-task learning network for compliance check of images to be measured in human body parameters is proposed. The basis of PyraNet pyramid stacking hourglass network for human key prediction tasks is completed. Join the goal detection idea of CornerNet to realize the construction of multi-task learning network that obtains the above two kinds of information at the same time. The network can simultaneously predict the position information of the human body and various key points of the human body; the network is designed and tested in detail. Based on the results of the above network, the design and implementation of the image compliance judgment algorithm was carried out.
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