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

• URL: http://arxiv.org/abs/2501.18478v1
• Date: Thu, 30 Jan 2025 16:51:40 GMT
• Title: SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images
• Authors: Daniel Bermuth, Alexander Poeppel, Wolfgang Reif,
• Abstract summary: 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.
• Score: 45.085830389820956
• License:
• 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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