Stacked hourglass deep learning networks based on attention mechanism in multi-person pose estimation
Jiazhi Di, ben wang, hua hu · 2023
In order to solve the problem of small-scale key point positioning accuracy in multiplayer pose estimation, using top-down method and advanced yolov4-tiny, this paper proposes an improved multi-person pose estimation method based on stacked hourglass deep learning network. The coordinate attention mechanism is introduced in the original hourglass network residual module to perform feature enhancement, which suppresses useless features and improves useful features, thus improving the recognition rate of small-scale joint points. From experiments, the index [email protected] reaches 88.9% on MPII dataset, which verifies the effectiveness of our proposed method.