Robust Algorithm for Human Pose Estimation
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This article introduces a robust algorithm designed for human pose estimation. The algorithm not only detects human limbs, torso, and head positions but also precisely locates them using coordinate regression techniques. By implementing keypoint detection and skeletal modeling approaches, it provides enriched data for higher-level analysis, facilitating better understanding of human poses and movements. Furthermore, the algorithm's versatile implementation allows applications across medical diagnostics, sports analytics, and virtual reality systems, significantly expanding its practical scope and impact through configurable detection thresholds and multi-person support capabilities.
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