Bicycle rider pose estimation using a human skeleton model with bicycle parts

Sora Shiromo; Yoshinari Kameda

doi:10.1117/12.3058024

5 February 2025 Bicycle rider pose estimation using a human skeleton model with bicycle parts

Sora Shiromo, Yoshinari Kameda

Author Affiliations +

Proceedings Volume 13510, International Workshop on Advanced Imaging Technology (IWAIT) 2025; 135101J (2025) https://doi.org/10.1117/12.3058024
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2025, 2025, Douliu City, Taiwan

Abstract

We propose a method for estimating the pose of a bicycle rider from images by integrating the relationship between bicycle parts and the human body and modeling them as a single skeleton for traffic analysis. The feature of this method is that the bicycle rider and the bicycle are represented as an integrated skeletal model instead of separating the skeletal representation of the bicycle parts and the human body. We call this the Bicycle Rider Model. To train the Bicycle Rider Model, we handcrafted our video dataset. In the dataset, we annotate the center of the handlebars, the crankshaft, and the front end of the front wheel as the new keypoints of the skeleton. We confirmed that the Bicycle Rider Model can estimate the pose of the bicycle rider.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sora Shiromo and Yoshinari Kameda "Bicycle rider pose estimation using a human skeleton model with bicycle parts", Proc. SPIE 13510, International Workshop on Advanced Imaging Technology (IWAIT) 2025, 135101J (5 February 2025); https://doi.org/10.1117/12.3058024

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