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28 March 2023 A prediction of human body key-points based on Kalman filter in transient visual masking
Rui Li, Xiaoxiao Zhu, Zhaohui Liang, Yanhong Ma, Huipeng Shi, Qixin Cao
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Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125661W (2023) https://doi.org/10.1117/12.2667223
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China
Abstract
While extracting dynamic 3D human key-points data for human pose estimation using only one RGBD camera, some key-points may be covered by other body parts during users’ movement. In this case, some key-points’ depth data can’t successfully be fused with aligned RGB data and that will influence final estimation of movement in this period. In this article, we present a method to predict users’ movement when camera can’t read exact 3D information of human key- points. This method proposes a Kalman filter model with constraints for predicting movement while there is a short sensor failure. The experiments show that these constraints can enhance robustness of system and help the filter to have a smooth performance. During sensor failure, 60% location data is well predicted.
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Rui Li, Xiaoxiao Zhu, Zhaohui Liang, Yanhong Ma, Huipeng Shi, and Qixin Cao "A prediction of human body key-points based on Kalman filter in transient visual masking", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125661W (28 March 2023); https://doi.org/10.1117/12.2667223
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KEYWORDS
Tunable filters
Visualization
Cameras
3D modeling
Optical filters
Sensors
Pose estimation
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