Paper
1 June 2020 Pose estimation of excavators
Hinako Nakamura, Yumeno Tsukada, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda
Author Affiliations +
Proceedings Volume 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020; 115152J (2020) https://doi.org/10.1117/12.2566436
Event: International Workshop on Advanced Imaging Technologies 2020 (IWAIT 2020), 2020, Yogyakarta, Indonesia
Abstract
In current pose estimation studies, bottom-up approaches estimating the pose from detected parts of the bodies and their relations have been major methods. This approach enabled us fast and accurate pose estimation. In other hands, there are many fields that the pose estimation could be applied. In this paper, we propose a bottom-up method for excavator pose estimation. For pose estimation, we generate ground truth confidence maps according to the annotation and evaluate loss function for training. We evaluated the model by calculating the loss between the estimated map and true map.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hinako Nakamura, Yumeno Tsukada, Toru Tamaki, Bisser Raytchev, and Kazufumi Kaneda "Pose estimation of excavators", Proc. SPIE 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020, 115152J (1 June 2020); https://doi.org/10.1117/12.2566436
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KEYWORDS
RGB color model

Motion estimation

Visualization

Animal model studies

Computer vision technology

Machine vision

Motion analysis

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