In crowded and complex scenes, it is easy to cause problems such as poor human pose estimation and low-key point positioning accuracy. In this paper, a high-resolution human pose estimation algorithm based on position awareness was proposed. The algorithm introduced the coordination attention (CA) in the feature extraction module, which realized the accurate acquisition of the spatial position information of key points, finally improved the human pose. Estimate the detection accuracy of the algorithm. The AP value of the improved algorithm was 76.5%, which was 2.1% higher than the original algorithm, the AP50 was increased by about 3.1%, and the AP75 was increased by about 2.8%. The experimental results showed that the proposed algorithm could effectively improve the detection performance in crowded and complex backgrounds and had higher detection accuracy.
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