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2 February 2023 High-resolution human pose estimation based on location awareness
Ning Wu, Hui Gao, Peng Wang, Xiaoyan Li, Zhigang Lv
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Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124620I (2023) https://doi.org/10.1117/12.2660942
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China
Abstract
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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Ning Wu, Hui Gao, Peng Wang, Xiaoyan Li, and Zhigang Lv "High-resolution human pose estimation based on location awareness", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124620I (2 February 2023); https://doi.org/10.1117/12.2660942
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KEYWORDS
Autoregressive models
Data modeling
Feature extraction
Performance modeling
Detection and tracking algorithms
Process modeling
Environmental sensing
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