Meghna Singh

Papers

Total Citations

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About

Meghna Singh’s research lies at the intersection of computer vision and human–machine interaction, with a central focus on gesture and pose recognition for specialized operational environments. Her seminal work, “Visual gesture recognition for ground air traffic control using the Radon transform” (2005, 36 citations), introduced a novel approach to interpreting the hand signals used by air marshals to guide aircraft on runways. By applying the Radon transform to extract robust features from binary silhouettes, Singh demonstrated how vision systems could reliably decode complex, real-world gestures—a critical step toward safer, automated ground control. Expanding this methodology, her paper “Pose recognition using the Radon transform” (2005, 28 citations) extended the framework to full-body pose estimation, offering a computationally efficient solution for applications in collaborative virtual environments and robot teleoperation. Though her citation counts reflect a focused, early-career impact, Singh’s contributions are notable for their practical ingenuity: she tackled a high-stakes, domain-specific problem (air traffic safety) with a mathematically elegant technique, bridging classical image processing and modern human–computer interaction. Her work remains a reference point for researchers exploring transform-based methods in gesture analysis.