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SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images

2025-01-30Code Available0· sign in to hype

Daniel Bermuth, Alexander Poeppel, Wolfgang Reif

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Abstract

In the rapidly advancing domain of computer vision, accurately estimating the poses of multiple individuals from various viewpoints remains a significant challenge, especially when reliability is a key requirement. This paper introduces a novel algorithm that excels in multi-view, multi-person pose estimation by incorporating depth information. An extensive evaluation demonstrates that the proposed algorithm not only generalizes well to unseen datasets, and shows a fast runtime performance, but also is adaptable to different keypoints. To support further research, all of the work is publicly accessible.

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