Human posture recognition based on lightweight OpenPose model

Zhi-Yuan Mei; Shi-Ming Wang; Ke-Ping Pan

doi:10.1117/12.3000882

9 August 2023 Human posture recognition based on lightweight OpenPose model

Zhi-Yuan Mei, Shi-Ming Wang, Ke-Ping Pan

Proceedings Volume 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023); 1278215 (2023) https://doi.org/10.1117/12.3000882
Event: Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 2023, Kuala Lumpur, Malaysia

Abstract

To address the problem of slow inference in the original OpenPose pose estimation model and lower the computing power of the model, this paper first uses MobilenetV3 as backbone to make a lightweight improvement for OpenPose's network, followed by using label fusion correction to further improve the accuracy of the model. These steps make a real-time pose recognition system built on embedded devices on robots possible. The performance of the improved model is verified on the COCO dataset, and the results show that the accuracy of the improved model is not much different from the original OpenPose model, but the detection speed is improved by a factor of 4. Finally, a pose recognition model was trained on the self-built dataset using the skeleton map output from the improved model and validated on the test set, and the experiments indicated that the accuracy of the pose recognition model was 92.5%, which was real-time and suitable for various application scenarios.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhi-Yuan Mei, Shi-Ming Wang, and Ke-Ping Pan "Human posture recognition based on lightweight OpenPose model", Proc. SPIE 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 1278215 (9 August 2023); https://doi.org/10.1117/12.3000882

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KEYWORDS

Pose estimation

Data modeling

Performance modeling

Education and training

Instrument modeling

Robots

Object detection

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