Single-Object Fall Detection Using Pose Estimation 3D Coordinates via Generating 3D Object Coordinates from 2D Object Coordinates


Jinmo Yang, Kidu Kim, R. Young Chul Kim, Journal of Information Processing Systems Vol. 21, No. 5, pp. 508-516, Oct. 2025  

https://doi.org/10.3745/JIPS.02.0227
Keywords: Dimensional Lifting, Pose Estimation, Object Tracking Window
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Abstract

Object fall detection is one of the significant applications in pose estimation. Traditional approaches heavily rely on fully mature neural networks, which may be complex to implement and resource-intensive. In this paper, we suggest a simple approach to detect Human fall on a single object using a mathematical comparison mechanism from 3D pose estimation landmarks lifted from 2D landmarks, suitable for low-specification systems. Our research focuses on dimensional lifting in 2D to 3D pose estimation based on object tracking—to adapt mapping 2D toons to 3D toons. For future research, we aim to develop a lightweight neural network for enhanced performance from ensemble effects and complex action detection. We also plan on enhancing the algorithm for multi-person detection. At this moment, our research extends into 3D toon generation. Our method achieves an F1-score of 94.7% (accuracy of 96.7%) with 28.2 FPS in detecting falls from webcam footage in a controlled environment.


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Cite this article
[APA Style]
Yang, J., Kim, K., & Kim, R. (2025). Single-Object Fall Detection Using Pose Estimation 3D Coordinates via Generating 3D Object Coordinates from 2D Object Coordinates. Journal of Information Processing Systems, 21(5), 508-516. DOI: 10.3745/JIPS.02.0227.

[IEEE Style]
J. Yang, K. Kim, R. Y. C. Kim, "Single-Object Fall Detection Using Pose Estimation 3D Coordinates via Generating 3D Object Coordinates from 2D Object Coordinates," Journal of Information Processing Systems, vol. 21, no. 5, pp. 508-516, 2025. DOI: 10.3745/JIPS.02.0227.

[ACM Style]
Jinmo Yang, Kidu Kim, and R. Young Chul Kim. 2025. Single-Object Fall Detection Using Pose Estimation 3D Coordinates via Generating 3D Object Coordinates from 2D Object Coordinates. Journal of Information Processing Systems, 21, 5, (2025), 508-516. DOI: 10.3745/JIPS.02.0227.